Image processing: Exploring geometric, logical and morphological operations in images + Color spaces (Part I)



This lab is composed of two parts.

You must submit a single lab report covering both Part I and Part II.

Part II will be sent before the start of next week's session.

The lab report is due by the end of the second lab session.

In this lab, you will explore essential image processing techniques that transform and enhance images, allowing you to extract meaningful insights. These foundational operations serve as building blocks for more advanced computer vision applications.

What you will learn in this Lab:


- You will understand the principles behind geometric transformations and logical operations in image processing.
- You will apply geometric transformations such as resizing, rotation, translation, and perspective modification to adjust image properties.
- You will perform bitwise logical operations to manipulate and combine images.
- Learn about morphological operations to enhance and extract structural information from images.
- Explore color spaces and how to convert between different color models for advanced image processing.

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)
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Understanding the libraries used


Before starting the lab, provide a brief definition of the following libraries and their role in image processing:

- OpenCV: Open Source Computer Vision Library, primarily used for image and video processing tasks such as geometric transformations, filtering, and morphological operations.

- NumPy: A fundamental package for numerical computing in Python, providing support for arrays, matrices, and mathematical functions used in image processing.

- Matplotlib: A plotting library for Python that enables visualization of images, histograms, and transformations applied to images.

If not installed, you can install them using:

pip install opencv-python numpy matplotlib
In [2]:
import matplotlib.pyplot as plt
import cv2 as cv
import numpy as np
 

Manipulation 1: Geometric Transformations



You will explore geometric transformations and their role in image processing, including:

- Resizing (Scaling) – Adjusting the image dimensions while preserving or modifying aspect ratios.
- Translation – Moving an image to a different position without altering its content.
- Rotation – Changing the orientation of an image around a fixed point.
- Shearing – Slanting the image along an axis, distorting its shape.
- Perspective Transformation – Adjusting the image’s perspective to simulate different viewpoints.



Why are these transformations important?



They are widely used in various computer vision tasks, such as:

- Image alignment – Aligning images for analysis and comparison.
- Data augmentation – Creating variations of images for training machine learning models.
- Perspective correction – Fixing distortions in images for better representation and analysis.
 

Theoretical research: Provide bellow a description of the following key concepts (using your own words):




* Geometrical transformations : ...

* Logical operations : ...

* Morphological operations : ...
 

Task 1: Image scaling



#### T 1.1: Resizing algorithms

Explore and compare different image resizing methods. For each method, provide a description of how it works:

- Nearest neighbor (Simplest method, but may cause pixelation) : ...
- Bilinear interpolation (Better quality, considers neighboring pixels) : ...
- Bicubic interpolation (Higher quality, but more computationally expensive) : ...

---

Manual implementation of a resizing algorithm: Write a function that implements the nearest neighbor resizing algorithm manually, without using any built-in functions for resizing. The new size can be provided as absolute values and also as positive/negative ratios.

- Load the cameraman.png image.
- Resize the cameraman.png image both up and down using the nearest neighbor method you have implemented. Perform at leat 6 differents resizings.
- Display the original image along with its size.
- Display the resized images with their new sizes.

Hint: You can achieve this by iterating over the pixel values and mapping them to a new zero matrix (black image) with the desired size based on the chosen interpolation method. It is important to warn the user if the new size of the image does not preserve the aspect ratio (but the resize has to be performed anyway).

Perform the same work for another resizing method: Bilinear interpolation or Bicubic interpolation.

Analyse the obtained images.
In [4]:
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load the image
img = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)  # grayscale
original_h, original_w = img.shape

print(f"Original size: {original_w}x{original_h}")
plt.imshow(img, cmap='gray')
plt.title(f'Original Image ({original_w}x{original_h})')
plt.show()

<>:6: SyntaxWarning: invalid escape sequence '\c' <>:6: SyntaxWarning: invalid escape sequence '\c' C:\Users\nesri\AppData\Local\Temp\ipykernel_13820\546096502.py:6: SyntaxWarning: invalid escape sequence '\c' img = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE) # grayscale
Original size: 256x256
Output
In [5]:
def nearest_neighbor_resize(image, new_size):
    """
    Resize the image using nearest neighbor interpolation.
    new_size: tuple (new_width, new_height)
    """
    old_h, old_w = image.shape
    new_w, new_h = new_size
    
    if new_w/old_w != new_h/old_h:
        print("⚠️ Warning: Aspect ratio not preserved!")

    resized = np.zeros((new_h, new_w), dtype=image.dtype)
    
    for i in range(new_h):
        for j in range(new_w):
            # Mapping coordinates from new image to old image
            x = int(j * old_w / new_w)
            y = int(i * old_h / new_h)
            resized[i, j] = image[y, x]
    
    return resized
In [6]:
# Define new sizes (both upscaling and downscaling)
sizes = [
    (int(original_w*0.5), int(original_h*0.5)),  # down 50%
    (int(original_w*0.8), int(original_h*0.8)),  # down 20%
    (int(original_w*1.2), int(original_h*1.2)),  # up 20%
    (int(original_w*1.5), int(original_h*1.5)),  # up 50%
    (int(original_w*2), int(original_h*2)),      # up 100%
    (int(original_w*0.3), int(original_h*0.3)),  # down 70%
]

# Resize and store images
nn_images = [nearest_neighbor_resize(img, sz) for sz in sizes]

# Display
plt.figure(figsize=(15,5))
plt.subplot(2, 4, 1)
plt.imshow(img, cmap='gray')
plt.title(f'Original ({original_w}x{original_h})')
plt.axis('off')

for i, resized in enumerate(nn_images):
    plt.subplot(2, 4, i+2)
    h, w = resized.shape
    plt.imshow(resized, cmap='gray')
    plt.title(f'{w}x{h}')
    plt.axis('off')

plt.tight_layout()
plt.show()
Output
In [8]:
def bilinear_resize(image, new_size):
    old_h, old_w = image.shape
    new_w, new_h = new_size
    
    if new_w/old_w != new_h/old_h:
        print("⚠️ Warning: Aspect ratio not preserved!")

    resized = np.zeros((new_h, new_w), dtype=image.dtype)
    
    for i in range(new_h):
        for j in range(new_w):
            x = j * (old_w - 1) / (new_w - 1)
            y = i * (old_h - 1) / (new_h - 1)
            
            x0 = int(np.floor(x))
            x1 = min(x0 + 1, old_w - 1)
            y0 = int(np.floor(y))
            y1 = min(y0 + 1, old_h - 1)
            
            a = x - x0
            b = y - y0
            
            # Bilinear interpolation formula
            resized[i,j] = (1-a)*(1-b)*image[y0,x0] + a*(1-b)*image[y0,x1] + (1-a)*b*image[y1,x0] + a*b*image[y1,x1]
    
    return resized.astype(np.uint8)
In [9]:
# Resize and store images
bilinear_images = [bilinear_resize(img, sz) for sz in sizes]

# Display
plt.figure(figsize=(15,5))
plt.subplot(2, 4, 1)
plt.imshow(img, cmap='gray')
plt.title(f'Original ({original_w}x{original_h})')
plt.axis('off')

for i, resized in enumerate(bilinear_images):
    plt.subplot(2, 4, i+2)
    h, w = resized.shape
    plt.imshow(resized, cmap='gray')
    plt.title(f'{w}x{h}')
    plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Resizing Method | Pros | Cons |
|---------------------|-------------------------------------------|-------------------------------------------|
| Nearest Neighbor | Very fast and simple
Preserves hard edges | Pixelation when upscaling
Jagged edges |
| Bilinear | Smooth result
Better quality than NN | Slight blur on sharp edges
Slower than NN |
| Bicubic | Even smoother
High quality | More computation
Can create ringing artifacts |
 
#### T 1.2: Image resizing using built-in functions of OpenCV

The resize() function in OpenCV allows adjusting the size of an image in different ways:

- Scaling using axis-specific factors:
- fx: Scale factor along the horizontal axis.
- fy: Scale factor along the vertical axis.

- Interpolation parameter (interpolation)
- Determines how pixel values are calculated when resizing.
- Common interpolation methods:
- cv2.INTER_NEAREST
- cv2.INTER_LINEAR
- cv2.INTER_CUBIC

---

Before applying the resize() function, youl will first create a simple grayscale test image using NumPy and Matplotlib. The image will be 6×6 pixels and structured as follows:

- The background is black (pixel value = 0).
- A white square (pixel value = 255) fills the inner 4×4 region, starting from row 1 and column 1.
- A smaller black square (pixel value = 0) is embedded inside the white square, occupying the central 2×2 region.

Once the image (imgtest) is created, it should be displayed before applying any resizing operations.

After generating the test image, the next step is to apply the resize() function to modify its dimensions. This involves adjusting the scale factors along the horizontal (fx) and vertical (fy) axes and experimenting with different interpolation methods.

To do this, follow these steps:
1. Use resize() to scale imgtest by modifying the fx and fy values.
2. Apply different interpolation methods (INTER_NEAREST, INTER_LINEAR, INTER_CUBIC) and observe their effects.
3. Display both the original and resized versions of imgtest and analyze the differences.
In [10]:
# Create a 6x6 black image
imgtest = np.zeros((6,6), dtype=np.uint8)

# Add white 4x4 square starting from row 1, column 1
imgtest[1:5, 1:5] = 255

# Add a smaller black 2x2 square in the center (row 2-3, col 2-3)
imgtest[2:4, 2:4] = 0

print("Original Test Image (6x6):\n", imgtest)

# Display the image
plt.imshow(imgtest, cmap='gray', vmin=0, vmax=255)
plt.title("Original 6x6 Test Image")
plt.axis('off')
plt.show()
Original Test Image (6x6): [[ 0 0 0 0 0 0] [ 0 255 255 255 255 0] [ 0 255 0 0 255 0] [ 0 255 0 0 255 0] [ 0 255 255 255 255 0] [ 0 0 0 0 0 0]]
Output
In [11]:
# New size (scale factors)
fx, fy = 10, 10  # upscale 10x to 60x60

# Nearest Neighbor
img_nn = cv2.resize(imgtest, dsize=None, fx=fx, fy=fy, interpolation=cv2.INTER_NEAREST)

# Bilinear
img_linear = cv2.resize(imgtest, dsize=None, fx=fx, fy=fy, interpolation=cv2.INTER_LINEAR)

# Bicubic
img_cubic = cv2.resize(imgtest, dsize=None, fx=fx, fy=fy, interpolation=cv2.INTER_CUBIC)
In [12]:
plt.figure(figsize=(12,3))

plt.subplot(1,4,1)
plt.imshow(imgtest, cmap='gray', vmin=0, vmax=255)
plt.title('Original 6x6')
plt.axis('off')

plt.subplot(1,4,2)
plt.imshow(img_nn, cmap='gray', vmin=0, vmax=255)
plt.title('Nearest Neighbor')
plt.axis('off')

plt.subplot(1,4,3)
plt.imshow(img_linear, cmap='gray', vmin=0, vmax=255)
plt.title('Bilinear')
plt.axis('off')

plt.subplot(1,4,4)
plt.imshow(img_cubic, cmap='gray', vmin=0, vmax=255)
plt.title('Bicubic')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Interpolation Method | Observations |
|---------------------|--------------|
| Nearest Neighbor | Hard edges preserved
Blocky / pixelated appearance |
| Bilinear | Smoother transitions
Slight blur on edges |
| Bicubic | Even smoother than bilinear
Curves appear
Slight ringing on edges |
 
After experimenting with the test image, you will now apply the resize() function to a real-world image, cameraman.png. This will allow you to observe how resizing affects a more complex image compared to the simple structured pattern of imgtest.

To analyze the effects of resizing, follow these steps:

1. Resize cameraman.png by adjusting fx and fy values to scale the image both up and down.
2. Apply a scaling factor between 0 and 1 to shrink the image while maintaining aspect ratio.
3. Resize the image by specifying exact dimensions (rows = 250, cols = 400) instead of using scale factors.
4. Compare the resized outputs with those from imgtest and discuss how interpolation affects a natural image differently from a synthetic one.
In [14]:
# Load the image in grayscale
img_cam = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)
h, w = img_cam.shape
print(f"Original Cameraman size: {w}x{h}")

plt.imshow(img_cam, cmap='gray')
plt.title(f'Original Cameraman ({w}x{h})')
plt.axis('off')
plt.show()

Original Cameraman size: 256x256
<>:2: SyntaxWarning: invalid escape sequence '\c' <>:2: SyntaxWarning: invalid escape sequence '\c' C:\Users\nesri\AppData\Local\Temp\ipykernel_13820\387447558.py:2: SyntaxWarning: invalid escape sequence '\c' img_cam = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)
Output
In [15]:
# Upscale 1.5x
img_up = cv2.resize(img_cam, dsize=None, fx=1.5, fy=1.5, interpolation=cv2.INTER_LINEAR)

# Downscale 0.5x
img_down = cv2.resize(img_cam, dsize=None, fx=0.5, fy=0.5, interpolation=cv2.INTER_LINEAR)

# Downscale 0.75x (maintaining aspect ratio)
img_down75 = cv2.resize(img_cam, dsize=None, fx=0.75, fy=0.75, interpolation=cv2.INTER_LINEAR)
In [16]:
# Resize to 400x250 (cols x rows)
img_exact = cv2.resize(img_cam, dsize=(400, 250), interpolation=cv2.INTER_LINEAR)
In [17]:
plt.figure(figsize=(15,5))

plt.subplot(1,5,1)
plt.imshow(img_cam, cmap='gray')
plt.title(f'Original\n{w}x{h}')
plt.axis('off')

plt.subplot(1,5,2)
h_up, w_up = img_up.shape
plt.imshow(img_up, cmap='gray')
plt.title(f'Upscale 1.5x\n{w_up}x{h_up}')
plt.axis('off')

plt.subplot(1,5,3)
h_down, w_down = img_down.shape
plt.imshow(img_down, cmap='gray')
plt.title(f'Downscale 0.5x\n{w_down}x{h_down}')
plt.axis('off')

plt.subplot(1,5,4)
h_down75, w_down75 = img_down75.shape
plt.imshow(img_down75, cmap='gray')
plt.title(f'Downscale 0.75x\n{w_down75}x{h_down75}')
plt.axis('off')

plt.subplot(1,5,5)
h_exact, w_exact = img_exact.shape
plt.imshow(img_exact, cmap='gray')
plt.title(f'Exact 400x250\n{w_exact}x{h_exact}')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Resizing Method / Factor | Observations |
|--------------------------|--------------|
| Upscale 1.5x (fx=fy=1.5) | Image gets larger
Some slight blurring with bilinear interpolation
Edges less sharp than nearest neighbor |
| Downscale 0.5x (fx=fy=0.5) | Image shrinks
Details are lost
Interpolation smooths transitions |
| Downscale 0.75x (fx=fy=0.75) | Slightly smaller
Preserves more details than 0.5x
Minor smoothing on edges |
| Resize to exact 400x250 | Non-integer scaling
Interpolation adjusts pixel values
Aspect ratio preserved manually if desired |
 

Questions:


After applying the resize() function to both imgtest and cameraman.png, analyze the results by answering the following questions:

1. How does resizing a structured test image (imgtest) compare to resizing a real-world image (cameraman.png)?
2. What differences do you observe when using different interpolation methods?
3. How does resizing with a scaling factor (fx, fy) differ from specifying exact dimensions (rows, cols)?
4. Which method produces the best visual quality for upscaling and which one for downscaling? Explain why.
5. Analyse this transformation considering the aspect ratio.
6. Analyze and compare the obtained resized images with those obtained using the function you implementd in T1.1.

---
 
Add your analysis and comments here

...
 

Task 2: Image translation



Geometric transformations involve mathematical operations that modify the coordinates of the image's pixels. These transformations are typically represented using transformation matrices that define how each point in the image is repositioned.

#### Understanding translation

Translation refers to shifting an image by a specified number of pixels along the x-axis and y-axis. This operation moves every pixel in the image without altering its shape, size or orientation.

Mathematically, translation is represented as follows:

$$
\begin{bmatrix}
x' \\ y'
\end{bmatrix}
=
\begin{bmatrix}
x + \Delta x \\ y + \Delta y
\end{bmatrix}
$$

where:

- \( $x'$ \) and \( $y'$ \) are the new coordinates after translation.
- \( $x$ \) and \( $y$ \) are the original coordinates of the pixel.
- \( $\Delta x$ \) and \( $\Delta y$ \) are the translation offsets along the horizontal and vertical axes, respectively.

Translation is often used for image alignment, object tracking, and perspective adjustments in computer vision tasks.


-------
Exampel of translation

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)
 

In this task, you will apply image translation using OpenCV's warpAffine() function to shift an image in different directions.

Instructions:


1. Select an image from the given images folder to perform the translation.
2. Translate the image by shifting:
- 100 pixels horizontally (along the x-axis).
- 200 pixels vertically (along the y-axis).
- Both axes simultaneously (100 pixels right and 200 pixels down).
3. Remove the black pixels that appear after translation.
4. Use the function warpAffine() from the cv2 module to apply the transformation.
5. Analyze the results by observing how translation affects the image and discussing potential use cases.
In [19]:
# Perform image translation as described above.
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load an example image (you can replace with your choice from 'images' folder)
img = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)
h, w = img.shape
print(f"Original image size: {w}x{h}")

plt.imshow(img, cmap='gray')
plt.title('Original Image')
plt.axis('off')
plt.show()
Original image size: 256x256
<>:7: SyntaxWarning: invalid escape sequence '\c' <>:7: SyntaxWarning: invalid escape sequence '\c' C:\Users\nesri\AppData\Local\Temp\ipykernel_13820\679582032.py:7: SyntaxWarning: invalid escape sequence '\c' img = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)
Output
In [20]:
def translate_image(image, tx=0, ty=0):
    """
    Translate an image by tx (x-axis) and ty (y-axis) using warpAffine.
    Fills empty areas by replicating edge pixels to remove black borders.
    """
    rows, cols = image.shape
    
    # Translation matrix
    M = np.float32([[1, 0, tx],
                    [0, 1, ty]])
    
    # Apply warpAffine
    translated = cv2.warpAffine(image, M, (cols, rows), borderMode=cv2.BORDER_REPLICATE)
    return translated
In [21]:
# 100 pixels horizontally
img_tx = translate_image(img, tx=100, ty=0)

# 200 pixels vertically
img_ty = translate_image(img, tx=0, ty=200)

# Both axes: 100 right, 200 down
img_txy = translate_image(img, tx=100, ty=200)
In [22]:
plt.figure(figsize=(15,4))

plt.subplot(1,4,1)
plt.imshow(img, cmap='gray')
plt.title('Original')
plt.axis('off')

plt.subplot(1,4,2)
plt.imshow(img_tx, cmap='gray')
plt.title('Shift 100 px right')
plt.axis('off')

plt.subplot(1,4,3)
plt.imshow(img_ty, cmap='gray')
plt.title('Shift 200 px down')
plt.axis('off')

plt.subplot(1,4,4)
plt.imshow(img_txy, cmap='gray')
plt.title('Shift 100 right & 200 down')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Translation Direction | Observations |
|---------------------------|--------------|
| 100 px horizontal (right) | Image moves right
Left side pixels replicated
No black borders due to replication |
| 200 px vertical (down) | Image moves down
Top pixels replicated
Smooth edge without black areas |
| 100 px right & 200 px down | Combination of horizontal and vertical shift
Image content preserved
Edges replicated to fill space |
 

Questions:


1. How does translating the image affect its appearance?
2. What happens to the pixels that are shifted beyond the image boundaries?
3. Why do black pixels appear after translation, and how can they be removed effectively?
4. Compare translating along a single axis ($x$ or $y$) vs. translating along both axes simultaneously—what differences do you notice?


Add your analysis and comments here

...

 
#### Challenge 1: Translating an Object

In this challenge, you will apply translation to animate the movement of an object inside an image.

Use Circle.png as the input image.


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qOcZ1zVSVeQawwWr7y35qvRctSq1jLUiBTBTnJE5nbpe8ore1XhVnrVT5SIFSvnMoPva9ArcqB8r26rlWWqPs6aUGq61yX82l/qLKty8pUTqgbWdugz6sRomVoHaq0a/kKWKokrGnrrbe2YKmgKdoP6rXTerQOtZCVFvVAqMWuUwbJ6QoFbZUpKidUKVAvQY8ePayHQWWGurn1v9TyVLbo2m+NERJV2kaNGmWvE/p/vvjii65t27b2HV2idsghh9gpAFF5pfW1aNHC3XHHHbZM/W81T706OoWh7yl463jR/+KGG26w8koVEm2XGmuqJIkqicl4gZwV13JQRLoUQiNOk8teEro8TZddxAeKpfVXo24zL1uLM5R9RiM840xmozHjQmXVZSZxBlx1CZvEtdRVl1VoeRoNqtGrcSBd9TldmpL5nYQ+o3VpHZmvRcvUtiS0nVqOxAWHjdqPM6Ftu7YhEVcubESt3tOoUl0al9AytV8+/PBDWx9QnOJKsR2nGs2ufCNx8LPjXH/jVtxqx3xC83Sc6q/oGE9GNid0qZU+s+b8TMqPWobyr2TmoYTmvfXWW3Z5mS6b0jZp23TJp/KZaP36nGhZKlf0m1TOiLZf60nylP7GLWD7jpabedmVlqsR7nFlwNL6ri4H0+e1/ky6bEyXmmp5mWVBJo0a10h9/S7l/bjVavslDu7+E3/Q/tD/Q+VTQr9HI/81Wl+/S+VGQqPok30n2tcqx1R+6OqazOUktM+0zbq8TH/XpN+ifZf8b0X7X6PpNdpdr5PyTPtGZZl+V0K/T8eS/v+60iFze3MRz0MvRerqUXeQ/gVq1etcdVLDTYM4s1q3pkbIq5arXgZ1pWWeiwcQjjhIu//9739OrfF13SCrIHFlxQabqedBren1oUHAmurWrevnFE1cAbEeBbXQ1TOwPtTdrlMM6rLPZWV7qM8DpULnt9SNo3Pp6u5SF1SaqOtPXXpxLddG6arLbKuttvLvAgiNurk1nkCD+P4uDejV+W114a8PnQJILh3LhmS8gioUOne+PnQqQ2VcrqOFDgBAABgUBwBAAAptoWuE4F95QAGAotO5Pd2lKi1090JdHw2g5Oi6e10BsNY18QroBdG9dvU2ExNTyU3t27f3OTAdRowYUeDvYGJiKr6pfPnya11BIYV2ua/vYAEA2VOUwUalIbleG0DJ0T1LNEBxTZxDBwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQA9QnTp1XOXKlX0KAJAPykQx/3o1zZs3d+PHj/cp5IJy5cq5DTfc0K1cudLtuuuu7tJLL3Vr/vuUPuigg9y3337rPvroI7fxxhv7d+J/dpkybubMma5///5uxYoVboMNNnCLFy/27yIXdO7c2Q0cONCnct/o0aNdmzZtfApASVCDbdasWa58+fJ+jqeAXpBmzZopUjCV8hQH5Khx48b2/3j77bejr7/+Ovriiy+iH374wf+n/rq5c+faMrSsQYMGRccee2xUt27dAtfPVLJTHND9fykdRo0aVeDvYGJiKr4pDujRokWLfC78AwE9h6dWrVpFw4YNi5YvX+7/K8VHQb53795R9erVC9wWppKZCOhMTEzrmgoL6JxDzzFly5Z1tWrVckOGDLGu17Zt29q84lalShXXvXt3F1cg3GWXXeYqVark3wEApAEBPYfUq1fPgvjEiRPd2Wef7bbddlv/TsnR+fdbbrnFTZ061XXp0sUCPQAg9xHQc8CRRx7phg4d6qZNm+Y6duzodtppJ/9O6dBgud12280NGDDATZ482fXo0cNVrVrVvwsAyEUE9FK0ww47WJf6iBEj3FlnneXn5pbq1au766+/3j3wwAOufv36NtIeAJB7COilRIFyzJgx7t5773XbbLONn5u7GjVq5CZMmGDBHQCQewjopUABXC1ena9e6zrCHLb11lvbwDld/w4AyC0E9BKmc9OPPPKIa9CggZ+TPn369HG33Xab22STTfwcAEBpI6CXoP3228+62Q899FA/J710aZtOF2y++eZ+DgCgNBHQS0jNmjXt2vK9997bz0k/DeTr2bOnTwEAShMBvQTonPngwYODCuaJiy66yFrrAIDSRUAvZtWqVbNu9oMPPtjPCYuuWdf59F69enFJGwCUIgJ6MdIAuLFjx7qGDRv6OeG66qqrXL9+/XwKAFDSCOjFqHHjxvZs8nzRrFkzt8suu/gUAKAkEdCLybHHHuuuvfZan8oPuvPd3Xff7bbccks/BwBQUgjoxUBPR7v44ovz7sEmZcqUcSeccIJr0qSJvQYAlBwCejFo2rRpqm8cU1TXXXed22KLLXwKAFASCOhZpu7mU089Na/vola7dm3XsmVLnwIAlAQCepbpBjInnniiT+WnjTbayLVr1467yAFACSKgZ5Guyb7yyistoOW7Aw44wHXo0MGnAGDdVIZut912PoW/qkwU869X07x5czd+/HifwvpQV/vAgQNdhQoV/Jz89tZbb7nWrVu7mTNn+jlYl86dO9sxlBajR492bdq08SmgcBoom4SbM844w07N/frrr5ZO7L777q5GjRruiSee8HN+p+9uuOGGdsfN2bNnr7asfFS5cmU3a9astZ/WqYBekGbNmmlvMa3ntMUWW0TPPfec33tInH/++QXuL6aCpzig+z2XDqNGjSrwdzAxaapUqVK08847R506dYomT54cPfXUUzb98ssv/gj6a958883oySefjJ599tlozJgxUc2aNaMdd9yxwHWHPMUBPVq0aJHfK38goGdpateu3d8+SEP28ccfW2WnoH3GtPZEQGcKYYpb0FHjxo2jxx57LIpbktHChQv9EZNdc+bMiT744IOoa9eu0a677lrgtoQ4FRbQOYeeJVtttRX3Mi/A9ttvb9flA8gPhx9+uLvnnnvc008/bfeliANtsV3GGrf+bSCy1jdu3Dh34YUXrt0NnUcI6FlQtWpVd8EFF/gUMqmSo4GCAMKlBk2LFi3cCy+84CZMmOC6dOlS4hV5nZPv37+/mzJliuvdu7erXr26fyd/ENCzQLVPDeTA2jSQJZ/uZw/kE7WGFchHjRrlHnnkEdeoUSO36aab+ndLhx5T3b17dzdjxgxrTNSqVcu/Ez4CehYsXbo0r0dcrsuSJUv8KwCh0M2zrrnmGgvmRx11lJ+bO9RrcPPNN7uhQ4e6vfbay88NGwE9C7bddlvuXf4nNttsM8YXAAHRzbMmTpzoLrnkkpy/70a9evXcyJEj3aBBg6wsChkBvYgUyHW+BoXTw1q4yQwQBt3WediwYda9rlNqabDHHnu48847zwJ7xYoV/dzwENCzgAeR/Dllem4DC6SfKuYPPfRQalu6GnU/ZMgQuzFLiAjoWbB8+XL/CoVZsWKFfwUgjc4991zXt2/fUh/0VlQaxKfR8CHeYpaADgD4UyeddJLr16+fDTQLwcknn+wGDBgQ3Dl1AjoAoFAaAKeR4qHdsKVVq1Y2Qj+kU6YE9CLS5Wp0J6/bb7/95l8BSAudMx8xYoTbcsst/ZywHH/88TYmQFcqhYCAXkQNGzZ01apV8ykURiNid9xxR58CkOt0zvyOO+4I/pJTPVlUTzisUqWKn5NeBPQiWrlyJTeVWQ/aTwDSo1OnTnlzBY+63w844ACfSi8CehG9+OKL7tNPP/UpFGbSpElu7ty5PgUgV+kS0z59+ti90fNJz549Xf369X0qnQjoRZQ8eB9/TreJBJD79t9/f3fppZfm3d0d99xzz9TfJIyADgAwG2+8sevatatP5Z+6deu6I444wqfSh4AOADB6MqJu1ZyvNJq/WbNmqe11JaBngWq1+HO5/gAHAM5169bNbb311j6Vn84555zUPnKVgJ4FX331lX+Fgvzyyy9u3rx5PgUgF7Vt29Ydc8wxPpW/dGvbq6++OpVjCAjoRaRL1m688UYuXfsTkydPtps3AMhNlSpVcm3atHEVKlTwc/KbzqM3aNDAp9KDgJ4FP/zwg3+Fgvz8889u2bJlPgUg12gwWNOmTX0KOu3QsWNHn0oPAnoW6JIsXb6GgvF4WSB3qWtZl6lRhq1OdwHVDWfShICeBfPnz3czZszwKWTSPdx1UxkAuevAAw/0r5DQ/d1r1qzpU+lAQM8CDYrT04iwtqVLl7q7777bpwDkmjPOOCP1zzgvLieccILbfvvtfSr3EdCzZNGiRRa8sLqvv/7avwKQi44++mguvS2Eei522GEHn8p9BPQsGTNmjJsyZYpPIdG/f3+r7ADITb/++qt/hYKk6dHPBPQsWbJkibvzzjvdd9995+fgpZdecuPHj+eSPiBHlS1blps+rUOarkcnoGfRY4895l544QWfym+LFy92w4cPd1988YWfAyDXaBS3zhOjcD169LCKTxoQ0LNMrfQVK1b4VP5644033LBhw3wKQC6qXLmy22yzzXwKBalWrZrbYIN0hEoCepZ98MEHdj49n+mc0/3332+tdAC5a/ny5f4VCpOmm2IR0LPsp59+coMHD87rgWCvvvpq3ldqAKCkEdCLwTPPPGP3L89XvXr1stu9AgBKDgG9mAwcODAvr8GeMGGCmzZtmk8ByGVpuiSrtKxcuTI1+4mAXkyeeOIJd8MNN/hUfvj2229d165deVgNkAKbb7556m5tWhr0BLq0PB+dgF6Mnnrqqbzqen/ggQfcnDlzfApALttuu+3cHnvs4VMoTPny5V3t2rV9KrcR0IvRZ5995lq0aOHGjRvn54RJo0D1tKbu3bv7OQBy3aeffsrg1fWge2mMHj3ap3IbAb2Y/fjjj+6cc86xu6aF6sorr3R9+/b1KQBpkaa7oJWWNN1Nj4BeAr7//nvXqVMn99577/k54dC92vv16+dTAIDSQkAvIe+//75r3bq1mzp1qp+Tfvfcc4+7/PLLfQoAUJoI6CVId5Fr3ry53fM9zfR0JgXyCy64IFV3UQKwurTc0rQ0peU+7sJ/s4TNmzfPtWvXzk2aNMnPSR+dM+/Tp49PAUgrrkNfN+2jtDwxkoBeCjRQ7txzz3WvvfaaW7p0qZ+b+3Q729tuu83OmwNIP90IKuQBu9mg8i4t97wnoJeSWbNmuWOOOcaddtpp7ptvvvFzc5euqW/QoIG7+uqreb45EIi5c+e6Tz75xKdQkFdeecW/yn0E9FI0f/58N3bsWAvsPXv2zMn7n+tBK+3bt3ennnqqe+utt3g6ExAY3TgFhUvT/iGg5wAFyuuuu84dfPDB7q677ir1GrNOA7zzzjuuY8eOrmnTpm7o0KF2mgBAeGbPnk2vWyF0O+sFCxb4VO4joOcQBXaNHtfd5R566KFSCaLTp093PXr0cE2aNHH33Xef++677/w7AEKkc8RU2AumxoxOj6YFAT3HqHX87rvvujPPPNNGww8ZMsStWLHCv1t8dHtDBfKWLVu6W265xUbjAwifHqbE5acFS1PrXAjoOUzXq3fo0MHtu+++1h3//PPPWyv+9ddft/sw/11axhtvvGF/b7rpJrfffvu5ww47zJ4Op8AOIH+oEXHzzTf7FBJ6DLQeOJUmZaJCTp7oBijjx4/3KeQC3QRCkwam1ahRw3Xr1s3mZ/4L9Vqj0fUs9g8//HC1exDrBgkff/yxGzBggC1Daa5DzS2dO3e2Z+mnhR5a0aZNG59CWlWtWtU9+uijrk6dOn5OftMlurrfhsrKXFS5cmU7FbDWgD0F9II0a9ZMUYIphVPdunWjKlWqFPgeU25PcUD3OTAdRo0aVeDvYErfdPXVV/v/KmbMmBFVrFixwP2UC1Mc0KO40uG39g90uQcoPhjdl19+6VMAsG4PPviglR1w9sCphQsX+lR6ENABADZ+RoNw9ayGfDZlyhT3zDPPlMhg5GwjoAMAjC5V1ZMh85XGFum8ua4/TyMCOgDA6PK1vn37+lT+ee+999zjjz/uU+lDQAcArKKHtaTpZirZpKs2NMI9rQjoAIBVPv/8c7tbZb4NrNW1+L179/apdCKgAwBWo67ncePG+VT4Zs6cabfbXrlypZ+TTgR0AMBa9Kjk+++/36fCpYdhnX322XYjrrQjoAMA1qL7mOthUWq5hkrXmnfq1MkuVQsBAR0AUCA9hU2PUdZgsdDot+khWM8995yfk34EdABAoXSjmdNPP90NGzbMz0k/PdPipJNOCm6cAAEdAPCndH26HhykG8+knQbA6Zz5pEmT/JxwENABAOu0ePFid9lll7mhQ4f6OemjZ7+fd9557uWXX/ZzwkJABwCsl59++sldeOGFbtSoUX5OeiTnzJ9//nk/JzwEdADAelNLXYHx8MMPT8Xo8CVLlrjzzz/f1atXz02YMMHPDRMBHQDwlyxdutTOQZ911lnurrvucnPmzPHv5BYF8A4dOtgDV/LhdrYEdADA36IgedFFF1nQHDx4sD2tLBdMnz7ddevWzXoSRo4c6eeGj4AOACgSXcvdpUsX16RJEzd8+HC7KU1p0N3eFMRPOeUUd+edd9oguHxCQAcAFJkubZs8ebJds37QQQfZJW7z5s3z7xaviRMnWoVin332sTvbzZ4927+TXwjoAICsUktZd5jTzVtatmxpl7qp1T5//vwitZo1wO3777+3Ees6b9++fXtbR6tWrdygQYOsUpHPykQx/3o1zZs3d+PHj/cpACVBN+8YOHCgT+U+3RK0TZs2PgUUrGLFiq5GjRrut99+c2XKlHEXX3yx23fffS2d0JPOKlWqZJ9VC1uhSZ9NlC1b1t16663u7bffdhtttJEF73fffde/m18qV65s4xfKly/v5/yOgA7kEAI68kG5cuXcpptuutrjShWKateu7WrWrOnGjh3r5/5Bwb20zs3nmsICOl3uAIASpfvDq9tcN6pJJj35bOrUqdY9nzk/mQjm60ZABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAkBABwAgAAR0AAACQEAHACAABHQAAAJAQAcAIAAEdAAAAlBoQF+8eLF/BaCk/Pzzz/5VOixbtsy/AlBSFixY4KIo8qk/lIlnrj03dtNNN7lp06b5FICScNxxx7nOnTv7VO576aWX3K233upTAEpChQoV3H333efKlSvn5/yu0IAOAADSg3PoAAAEgIAOAEAACOgAAASAgA4AQAAI6AAApJ5z/w9QaIXcgqx3ZQAAAABJRU5ErkJggg==)
In [23]:
# Challenge 1: Apply static translation to the image.
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load the Circle image
img = cv2.imread('Images\Circle.png', cv2.IMREAD_UNCHANGED)  # supports alpha channel if PNG
h, w = img.shape[:2]

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) if img.shape[2]==3 else plt.imshow(img)
plt.title('Original Circle Image')
plt.axis('off')
plt.show()
<>:7: SyntaxWarning: invalid escape sequence '\C' <>:7: SyntaxWarning: invalid escape sequence '\C' C:\Users\nesri\AppData\Local\Temp\ipykernel_13820\863208935.py:7: SyntaxWarning: invalid escape sequence '\C' img = cv2.imread('Images\Circle.png', cv2.IMREAD_UNCHANGED) # supports alpha channel if PNG
Output
In [24]:
def translate_image(image, tx=0, ty=0):
    """
    Translate image by tx (x-axis) and ty (y-axis) using warpAffine.
    Uses border replication to avoid black pixels.
    """
    rows, cols = image.shape[:2]
    M = np.float32([[1, 0, tx],
                    [0, 1, ty]])
    translated = cv2.warpAffine(image, M, (cols, rows), borderMode=cv2.BORDER_REPLICATE)
    return translated
In [25]:
# Number of frames
num_frames = 20
shift_per_frame = 10  # pixels per frame

plt.figure(figsize=(10,5))

for i in range(num_frames):
    tx = i * shift_per_frame  # move right each frame
    ty = 0                    # no vertical movement
    
    img_moved = translate_image(img, tx=tx, ty=ty)
    
    plt.clf()
    plt.imshow(cv2.cvtColor(img_moved, cv2.COLOR_BGR2RGB)) if img.shape[2]==3 else plt.imshow(img_moved)
    plt.title(f'Frame {i+1}: Shift {tx}px right')
    plt.axis('off')
    plt.pause(0.2)  # pause 200ms per frame

plt.show()
Output
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| Animation Step | Observations |
|----------------|--------------|
| Initial frame | Circle at original position |
| Intermediate frames | Circle moves gradually to the right
Image edges replicated to avoid black borders |
| Final frame | Circle reaches maximum shift
Movement appears smooth and continuous |
 
#### Challenge 2: Dynamic Object Translation
1. Perform horizontal translation → Shift the white circle continuously to the right. Once it reaches the image boundary, it should reappear from the left side.
2. Perform vertical translation → Shift the circle downward, ensuring it wraps around and reappears from the top.
3. Apply sinewave-based horizontal translation → Make the circle follow a sinusoidal path as it moves horizontally.
4. Generate an animation to visualize the movement over time.



To create a video file, you first need to initialize a VideoWriter object.


- Step 1: Define the codec (video format)

fourcc = cv2.VideoWriter_fourcc(*'mp4v')

- Step 2: Create the video writer

video_writer = cv2.VideoWriter('your/saving/path/output_video.mp4', fourcc, 30, (image_width, image_height))

- Step 3: Write frames (each frame corresponds to one translation step) to the video inside a loop

video_writer.write(frame)

- Step 4: Release the video writer (finalize the video file once the loop ends)

video_writer.release()
In [27]:
# Challenge 2: Animate translation using OpenCV VideoWriter.
import cv2
import numpy as np

# Load Circle.png
img = cv2.imread('Images\Circle.png', cv2.IMREAD_UNCHANGED)  # preserves alpha if PNG
h, w = img.shape[:2]
<>:6: SyntaxWarning: invalid escape sequence '\C' <>:6: SyntaxWarning: invalid escape sequence '\C' C:\Users\nesri\AppData\Local\Temp\ipykernel_13820\3962405672.py:6: SyntaxWarning: invalid escape sequence '\C' img = cv2.imread('Images\Circle.png', cv2.IMREAD_UNCHANGED) # preserves alpha if PNG
In [28]:
# Video parameters
output_path = 'dynamic_translation.mp4'
fps = 30
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
video_writer = cv2.VideoWriter(output_path, fourcc, fps, (w, h))

# Function to convert image with alpha to BGR for video (if PNG has alpha)
def to_bgr(img):
    if img.shape[2] == 4:  # has alpha
        alpha = img[:,:,3]/255.0
        bgr = img[:,:,:3].astype(np.float32)
        bgr[:,:,0] = bgr[:,:,0]*alpha + (1-alpha)*0  # background=black
        bgr[:,:,1] = bgr[:,:,1]*alpha + (1-alpha)*0
        bgr[:,:,2] = bgr[:,:,2]*alpha + (1-alpha)*0
        return bgr.astype(np.uint8)
    return img
In [29]:
def translate_wrap(image, tx=0, ty=0):
    """
    Translate an image with wrap-around effect.
    Positive tx moves right, positive ty moves down.
    """
    rows, cols = image.shape[:2]
    
    # Horizontal wrap
    tx = tx % cols
    ty = ty % rows
    
    # Horizontal shift
    Mx = np.float32([[1,0,tx],[0,1,0]])
    shifted_x = cv2.warpAffine(image, Mx, (cols, rows), borderMode=cv2.BORDER_WRAP)
    
    # Vertical shift
    My = np.float32([[1,0,0],[0,1,ty]])
    shifted_xy = cv2.warpAffine(shifted_x, My, (cols, rows), borderMode=cv2.BORDER_WRAP)
    
    return shifted_xy
In [30]:
num_frames = 120  # 4 seconds at 30fps

# Parameters for sinewave motion
amplitude = 50  # vertical displacement
frequency = 2 * np.pi / num_frames  # one full wave over animation

for i in range(num_frames):
    # Horizontal translation with wrap
    tx_h = i * 5  # 5 px per frame
    frame_h = translate_wrap(img, tx=tx_h, ty=0)
    
    # Vertical translation with wrap
    ty_v = i * 3
    frame_v = translate_wrap(img, tx=0, ty=ty_v)
    
    # Sinewave horizontal translation
    tx_sine = i * 5
    ty_sine = int(amplitude * np.sin(frequency * i))
    frame_sine = translate_wrap(img, tx=tx_sine, ty=ty_sine)
    
    # Combine or choose one to write (example: sinewave)
    video_writer.write(to_bgr(frame_sine))
In [31]:
video_writer.release()
print("Video saved as dynamic_translation.mp4")
Video saved as dynamic_translation.mp4
 

Task 3: Image Rotation



Rotation is a geometric transformation that rotates an image around a fixed point (usually the center). The transformation is represented by the following mathematical formula:

$$
\begin{bmatrix}
x' \\ y'
\end{bmatrix} =
\begin{bmatrix}
\cos\theta & -\sin\theta \\
\sin\theta & \cos\theta
\end{bmatrix}
\begin{bmatrix}
x \\ y
\end{bmatrix}
$$

where:
- \( $x'$ \), \( $y'$ \) are the new coordinates after rotation.
- \( $x$ \), \( $y$ \) are the original coordinates of the pixel.
- \( $\theta$ \) is the rotation angle in degrees.
---

Instructions:


1. Choose an image from the images folder.
1. Write a program to rotate an image at different angles, such as 45°, 90°, and a full 360° rotation.
2. Use cv2.getRotationMatrix2D() to generate the rotation matrix and apply it to the image.
3. Analyze the results by observing how rotation affects the image, especially at different angles.
In [33]:
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load image (replace with any image from 'images' folder)
img = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)
h, w = img.shape
print(f"Original image size: {w}x{h}")

plt.imshow(img, cmap='gray')
plt.title('Original Image')
plt.axis('off')
plt.show()
Original image size: 256x256
<>:6: SyntaxWarning: invalid escape sequence '\c' <>:6: SyntaxWarning: invalid escape sequence '\c' C:\Users\nesri\AppData\Local\Temp\ipykernel_13820\1102725967.py:6: SyntaxWarning: invalid escape sequence '\c' img = cv2.imread('Images\cameraman.png', cv2.IMREAD_GRAYSCALE)
Output
In [34]:
def rotate_image(image, angle):
    """
    Rotate an image around its center by the given angle (in degrees)
    """
    h, w = image.shape[:2]
    center = (w//2, h//2)
    
    # Rotation matrix
    M = cv2.getRotationMatrix2D(center, angle, 1)  # scale=1
    rotated = cv2.warpAffine(image, M, (w, h), borderMode=cv2.BORDER_REPLICATE)
    return rotated
In [35]:
angles = [45, 90, 180, 270, 360]  # degrees
rotated_images = [rotate_image(img, angle) for angle in angles]
In [36]:
plt.figure(figsize=(15,5))

plt.subplot(1, len(angles)+1, 1)
plt.imshow(img, cmap='gray')
plt.title('Original')
plt.axis('off')

for i, rotated in enumerate(rotated_images):
    plt.subplot(1, len(angles)+1, i+2)
    plt.imshow(rotated, cmap='gray')
    plt.title(f'{angles[i]}°')
    plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Rotation Angle | Observations |
|----------------|--------------|
| 45° | Image rotated diagonally
Edges become less sharp
Some interpolation artifacts appear |
| 90° | Image rotated clockwise
Orientation changes
Edges mostly preserved due to 90° alignment |
| 180° | Image upside down
Content preserved
Edges slightly smoothed by interpolation |
| 270° | Image rotated counterclockwise
Orientation changed
Similar behavior to 90° rotation |
| 360° | Full rotation, returns to original
No visible change, slight interpolation may blur edges slightly |
 

Questions:


1. What happens to the image dimensions after rotation? Why do some rotations introduce black borders?
2. How does OpenCV handle out-of-frame pixels during rotation?


Add your analysis and comments here

...
 
#### Challenge: Custom Rotation Point

By default, image rotation occurs around the center of the image. In this challenge, you will modify the transformation to rotate an image around a custom point instead.

Instructions:


1. Use the same image as before or choose a different one from the images folder.
2. Select a custom pivot point (e.g., a corner, an off-center point, or a specific feature in the image).
3. Use cv2.getRotationMatrix2D() to compute the transformation matrix based on the chosen pivot point.
4. Apply the rotation and display the resulting image.
5. Analyze the difference between center-based rotation and custom-point rotation.
In [39]:
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load image
img = cv2.imread('Images/cameraman.png', cv2.IMREAD_GRAYSCALE)
h, w = img.shape
print(f"Original image size: {w}x{h}")

plt.imshow(img, cmap='gray')
plt.title('Original Image')
plt.axis('off')
plt.show()
Original image size: 256x256
Output
In [37]:
def rotate_image_custom_pivot(image, angle, pivot):
    """
    Rotate an image around a custom pivot point.
    
    Parameters:
        image: input grayscale image
        angle: rotation angle in degrees (clockwise)
        pivot: tuple (x, y) for rotation pivot point
    """
    # Rotation matrix
    M = cv2.getRotationMatrix2D(pivot, angle, 1)  # scale=1
    h, w = image.shape[:2]
    rotated = cv2.warpAffine(image, M, (w, h), borderMode=cv2.BORDER_REPLICATE)
    return rotated
In [38]:
angles = [45, 90]  # rotation angles
pivot_points = [(0,0), (w//4, h//4)]  # top-left corner, off-center

plt.figure(figsize=(12,5))

for i, pivot in enumerate(pivot_points):
    for j, angle in enumerate(angles):
        rotated = rotate_image_custom_pivot(img, angle, pivot)
        plt.subplot(len(pivot_points), len(angles), i*len(angles)+j+1)
        plt.imshow(rotated, cmap='gray')
        plt.title(f'Angle: {angle}°\nPivot: {pivot}')
        plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Pivot Point | Rotation Angle | Observations |
|------------------|----------------|--------------|
| Top-left corner (0,0) | 45° | Image rotates around the top-left
Bottom and right edges swing outward
Much of the image moves diagonally |
| Top-left corner (0,0) | 90° | Rotates clockwise around corner
Original top-left remains fixed
Other parts move to new positions |
| Off-center (w/4,h/4) | 45° | Rotation occurs around internal point
Center of image shifts visually
Content appears to orbit around the pivot |
| Off-center (w/4,h/4) | 90° | Image rotates around custom point
Original pivot stays fixed
Edge movement is asymmetric compared to center rotation |
 

Task 4: Affine Transformation



Affine transformations are a class of geometric transformations that preserve collinearity (straight lines remain straight) and ratios of distances between points. They include operations such as scaling, rotation, shearing, and translation.


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)
 

Analysis of the Transformation:


1. Analyze the given output and determine what type of transformation has been applied to the pepper.png image.
2. Explain the effects of the transformation and how it affects the image structure.

Add your analysis and comments here

...
 

Instructions:



1. Use the appropriate OpenCV functions to reproduce the transformations observed in the output.
2. Display the transformed images and compare them with the original.
In [40]:
# Apply and reproduce the affine transformations observed in the given output.
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load image
img = cv2.imread('Images/cameraman.png', cv2.IMREAD_GRAYSCALE)
h, w = img.shape
print(f"Original image size: {w}x{h}")

plt.imshow(img, cmap='gray')
plt.title('Original Image')
plt.axis('off')
plt.show()
Original image size: 256x256
Output
In [41]:
# Translation
def translate(image, tx=0, ty=0):
    M = np.float32([[1,0,tx],[0,1,ty]])
    return cv2.warpAffine(image, M, (image.shape[1], image.shape[0]), borderMode=cv2.BORDER_REPLICATE)

# Rotation around center
def rotate(image, angle):
    center = (image.shape[1]//2, image.shape[0]//2)
    M = cv2.getRotationMatrix2D(center, angle, 1)
    return cv2.warpAffine(image, M, (image.shape[1], image.shape[0]), borderMode=cv2.BORDER_REPLICATE)

# Scaling
def scale(image, fx=1, fy=1):
    return cv2.resize(image, None, fx=fx, fy=fy, interpolation=cv2.INTER_LINEAR)

# Horizontal flip
def flip_horizontal(image):
    return cv2.flip(image, 1)

# Vertical flip
def flip_vertical(image):
    return cv2.flip(image, 0)
In [42]:
# Example transformations
transformed_images = {
    'Translate (100 right, 50 down)': translate(img, tx=100, ty=50),
    'Rotate 45°': rotate(img, 45),
    'Scale 1.5x': scale(img, fx=1.5, fy=1.5),
    'Flip Horizontal': flip_horizontal(img),
    'Flip Vertical': flip_vertical(img)
}
In [43]:
plt.figure(figsize=(18,5))

# Original
plt.subplot(1, len(transformed_images)+1, 1)
plt.imshow(img, cmap='gray')
plt.title('Original')
plt.axis('off')

# Transformed
for i, (name, t_img) in enumerate(transformed_images.items()):
    plt.subplot(1, len(transformed_images)+1, i+2)
    plt.imshow(t_img, cmap='gray')
    plt.title(name)
    plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Transformation | Observations |
|----------------------------|--------------|
| Translate (100 right, 50 down) | Image content moves diagonally
Empty regions filled via border replication |
| Rotate 45° | Image rotates clockwise around center
Edges interpolated slightly |
| Scale 1.5x | Image enlarges
Some blurring occurs due to interpolation |
| Flip Horizontal | Image mirrored along vertical axis
Left/right reversed |
| Flip Vertical | Image mirrored along horizontal axis
Top/bottom reversed |
 
#### Challenge: Aligning a Tilted Image

In this challenge, you will correct the alignment of an image that appears tilted or skewed.

- Use leaning.jpg from the images folder as the input image.
- Apply the necessary transformations to straighten the image.

Instructions:


1. Load leaning.jpg and analyze its tilt.
2. Determine the transformation needed to correct its alignment (e.g., rotation, affine transformation, perspective correction).
3. Use OpenCV functions such as cv2.getRotationMatrix2D() or cv2.warpAffine() to straighten the image.
4. Display both the original and corrected images side by side for comparison.
5. Analyze the results, explaining how alignment correction improves image perception.
In [45]:
# Apply transformation to align leaning.jpg.
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load tilted image
img = cv2.imread('Images/leaning.jpg')
h, w = img.shape[:2]
print(f"Original image size: {w}x{h}")

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Original Tilted Image')
plt.axis('off')
plt.show()
Original image size: 540x312
Output
In [46]:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 50, 150)

plt.imshow(edges, cmap='gray')
plt.title('Edges for Tilt Analysis')
plt.axis('off')
plt.show()
Output
In [47]:
lines = cv2.HoughLines(edges, 1, np.pi/180, threshold=100)
angles = []

if lines is not None:
    for rho,theta in lines[:,0]:
        angle = (theta*180/np.pi) - 90  # convert to degrees, horizontal reference
        angles.append(angle)

# Average angle of detected lines
if angles:
    tilt_angle = np.mean(angles)
else:
    tilt_angle = 0

print(f"Estimated tilt angle: {tilt_angle:.2f}°")
Estimated tilt angle: 2.54°
In [48]:
def rotate_image(image, angle):
    h, w = image.shape[:2]
    center = (w//2, h//2)
    M = cv2.getRotationMatrix2D(center, angle, 1)
    rotated = cv2.warpAffine(image, M, (w, h), borderMode=cv2.BORDER_REPLICATE)
    return rotated

corrected = rotate_image(img, -tilt_angle)
In [49]:
plt.figure(figsize=(12,6))

plt.subplot(1,2,1)
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Original Tilted Image')
plt.axis('off')

plt.subplot(1,2,2)
plt.imshow(cv2.cvtColor(corrected, cv2.COLOR_BGR2RGB))
plt.title('Corrected Alignment')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Transformation | Observations |
|--------------------------|--------------|
| Original Tilted Image | Image appears slanted
Objects are skewed
Harder to analyze visually |
| Corrected Alignment | Tilt removed by rotation
Horizontal and vertical lines now aligned
Image perception improves significantly
Content easier to interpret |
 
Add your analysis and comments here

...
 

Task 5: Perspective Transformation



Perspective transformation is a geometric operation that maps an image from one perspective to another, commonly used for rectifying distortions or simulating different viewpoints.

Instructions:


1. Analyze the given transformed images and identify the type of perspective transformations applied.
2. Explain how these transformations affect the image structure, such as warping, foreshortening, or rectification.
3. Use OpenCV functions like cv2.getPerspectiveTransform() and cv2.warpPerspective() to reproduce the transformations using the Earth.bmp image.
4. Compare the transformed images with the original and discuss your observations.
 
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)
In [51]:
# Apply perspective transformation here.
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load Earth.bmp
img = cv2.imread('Images/Earth.bmp')
h, w = img.shape[:2]
print(f"Original image size: {w}x{h}")

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Original Image')
plt.axis('off')
plt.show()
Original image size: 300x307
Output
In [52]:
# Source points (corners of the original image)
src_pts = np.float32([[0,0], [w-1,0], [w-1,h-1], [0,h-1]])

# Destination points (simulate perspective tilt)
dst_pts = np.float32([
    [50,50],          # top-left moves inward
    [w-50, 0],        # top-right moves inward
    [w-10, h-10],     # bottom-right slightly shifted
    [10, h-20]        # bottom-left slightly shifted
])
In [53]:
# Source points (corners of the original image)
src_pts = np.float32([[0,0], [w-1,0], [w-1,h-1], [0,h-1]])

# Destination points (simulate perspective tilt)
dst_pts = np.float32([
    [50,50],          # top-left moves inward
    [w-50, 0],        # top-right moves inward
    [w-10, h-10],     # bottom-right slightly shifted
    [10, h-20]        # bottom-left slightly shifted
])
In [54]:
M = cv2.getPerspectiveTransform(src_pts, dst_pts)
In [55]:
warped = cv2.warpPerspective(img, M, (w, h))
In [56]:
plt.figure(figsize=(12,6))

plt.subplot(1,2,1)
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Original Image')
plt.axis('off')

plt.subplot(1,2,2)
plt.imshow(cv2.cvtColor(warped, cv2.COLOR_BGR2RGB))
plt.title('Perspective Transformed')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Transformation | Observations |
|----------------------------|--------------|
| Perspective Transformation | The image appears tilted or foreshortened
Top edges appear narrower, bottom edges wider
Simulates a viewpoint change
Useful for rectifying distortions or creating 3D-like effects |
 
Add your analysis and comments here

...
 
#### Challenge: Bird's Eye View Transformation

In this challenge, you will apply geometric transformations to align an image similar to the example shown below.

- Use road.png from the images folder as the input image.
- Apply the same transformation as demonstrated in the reference image below.

![Road Alignment Example](https://journals.sagepub.com/cms/10.1177/09544070231203059/asset/images/large/10.1177_09544070231203059-fig10.jpeg)

Instructions:


1. Apply a perspective transformation to align road.png using cv2.getPerspectiveTransform() and cv2.warpPerspective().
2. Apply the transformation and display the corrected image.
3. Compare your result with the original image and the reference example.
In [57]:
import cv2
import numpy as np
import matplotlib.pyplot as plt

# Load road.png
img = cv2.imread('Images/road.png')
h, w = img.shape[:2]
print(f"Original image size: {w}x{h}")

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Original Road Image')
plt.axis('off')
plt.show()
Original image size: 628x375
Output
In [58]:
# Example source points (adjust based on your road.png)
src_pts = np.float32([
    [570, 470],  # top-left of lane
    [710, 470],  # top-right of lane
    [1100, 720], # bottom-right
    [200, 720]   # bottom-left
])

# Destination points for a top-down rectangle
dst_pts = np.float32([
    [200, 0],    # top-left
    [900, 0],    # top-right
    [900, 720],  # bottom-right
    [200, 720]   # bottom-left
])
In [59]:
M = cv2.getPerspectiveTransform(src_pts, dst_pts)
In [60]:
warped = cv2.warpPerspective(img, M, (w, h))
In [61]:
plt.figure(figsize=(12,6))

plt.subplot(1,2,1)
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title('Original Road Image')
plt.axis('off')

plt.subplot(1,2,2)
plt.imshow(cv2.cvtColor(warped, cv2.COLOR_BGR2RGB))
plt.title('Bird\'s Eye View')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Transformation | Observations |
|------------------------|--------------|
| Perspective Warp | Lane is now aligned vertically
Simulates top-down (bird’s-eye) view
Useful for lane detection, autonomous driving, and path planning
Objects retain relative proportions along road |
 
---

Manipulation 2: Bitwise Logical Operators



Bitwise logical operators allow us to perform pixel-wise operations on images. These operations are useful for masking, blending, and extracting regions of interest in an image.

In OpenCV, bitwise operations are applied using cv2.bitwise_*() functions, which perform logical operations at the pixel level. Each pixel's value is modified based on the corresponding pixel values from input images, following standard bitwise logic rules (AND, OR, XOR, NOT).

These operations are commonly used in image processing tasks, such as:
- Creating masks to isolate parts of an image
- Combining or blending two images based on logical conditions
- Extracting foreground or background elements



![LO.png](data:image/png;base64,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)
----
 

Task 1: Creating and Applying Logical Operations on Binary Images



In this task, you will generate two binary images and apply logical operations both manually and using OpenCV functions.

Image Specifications:


- Image A (256×256 pixels) contains a black rectangle at coordinates $90 ≤ x ≤ 120$ and $90 ≤ y ≤ 180$.
- Image B (256×256 pixels) contains a black square at coordinates $110 ≤ x ≤ 150$ and $110 ≤ y ≤ 150$.


Instructions:



1. Create Image A and Image B using NumPy, ensuring correct pixel placements.
2. Implement logical operations (NOT, AND, OR, XOR) manually, without using OpenCV functions.
3. Apply logical operations using OpenCV functions:
- cv2.bitwise_not()
- cv2.bitwise_and()
- cv2.bitwise_or()
- cv2.bitwise_xor()

4. Analyze the results, comparing the output of manual implementation with OpenCV’s built-in functions.
In [62]:
# Add the corresponding code here.
import cv2
import numpy as np
import matplotlib.pyplot as plt
In [63]:
# Image dimensions
h, w = 256, 256

# Create white images (255 = white, 0 = black)
A = np.ones((h,w), dtype=np.uint8) * 255
B = np.ones((h,w), dtype=np.uint8) * 255

# Draw black rectangle in Image A: 90 ≤ x ≤ 120, 90 ≤ y ≤ 180
A[90:181, 90:121] = 0

# Draw black square in Image B: 110 ≤ x ≤ 150, 110 ≤ y ≤ 150
B[110:151, 110:151] = 0

# Display A and B
plt.figure(figsize=(10,5))
plt.subplot(1,2,1)
plt.imshow(A, cmap='gray')
plt.title('Image A')
plt.axis('off')

plt.subplot(1,2,2)
plt.imshow(B, cmap='gray')
plt.title('Image B')
plt.axis('off')

plt.show()
Output
In [64]:
# NOT
NOT_A = 255 - A
NOT_B = 255 - B

# AND
AND_AB = np.minimum(A, B)

# OR
OR_AB = np.maximum(A, B)

# XOR
XOR_AB = np.where(A==B, 0, 255)
In [65]:
NOT_A_cv = cv2.bitwise_not(A)
NOT_B_cv = cv2.bitwise_not(B)
AND_AB_cv = cv2.bitwise_and(A, B)
OR_AB_cv = cv2.bitwise_or(A, B)
XOR_AB_cv = cv2.bitwise_xor(A, B)
In [66]:
operations = {
    "NOT A": (NOT_A, NOT_A_cv),
    "NOT B": (NOT_B, NOT_B_cv),
    "A AND B": (AND_AB, AND_AB_cv),
    "A OR B": (OR_AB, OR_AB_cv),
    "A XOR B": (XOR_AB, XOR_AB_cv)
}

plt.figure(figsize=(15,10))
i = 1
for name, (manual, opencv) in operations.items():
    plt.subplot(len(operations),2,i)
    plt.imshow(manual, cmap='gray')
    plt.title(f"Manual {name}")
    plt.axis('off')
    
    plt.subplot(len(operations),2,i+1)
    plt.imshow(opencv, cmap='gray')
    plt.title(f"OpenCV {name}")
    plt.axis('off')
    
    i += 2

plt.tight_layout()
plt.show()
Output
 
Add your analysis and comments here

...
 
| Operation | Observations |
|------------|--------------|
| NOT A | All black pixels in A become white, and white become black. Manual and OpenCV results match perfectly. |
| NOT B | All black pixels in B become white, and white become black. Manual and OpenCV results match perfectly. |
| A AND B | Only pixels that are black in both A and B remain black. Overlapping region (110≤x≤120, 110≤y≤150) is black, rest is white. Manual and OpenCV results match. |
| A OR B | Pixels that are black in A or B are black. Larger black region combining rectangle and square. Manual and OpenCV results match. |
| A XOR B | Pixels black in only one of the images are black. Overlapping region is white. Manual and OpenCV results match. |
 

Task 2: Applying Bitwise Logical Operators on Images



In this task, you will apply bitwise logical operations to different image pairs using OpenCV functions that you have previously used.


Instructions:


1. Apply the bitwise AND operation on Brain.png and BrainM.png using cv2.bitwise_and().
2. Apply the bitwise OR operation on Brain.png and BrainM.png using cv2.bitwise_or().
3. Apply the bitwise XOR operation on Before.png and After.png using cv2.bitwise_xor().
4. Apply the bitwise NOT operation separately on QR.png and Jellybeans.png using cv2.bitwise_not().
5. Display the results and analyze how each operation affects the images.
In [67]:
# Apply bitwise logical operations on the given image pairs using OpenCV.
import cv2
import numpy as np
import matplotlib.pyplot as plt
In [68]:
# Load images in grayscale
brain = cv2.imread('Images/Brain.png', cv2.IMREAD_GRAYSCALE)
brain_mask = cv2.imread('Images/BrainM.png', cv2.IMREAD_GRAYSCALE)
before = cv2.imread('Images/Before.png', cv2.IMREAD_GRAYSCALE)
after = cv2.imread('Images/After.png', cv2.IMREAD_GRAYSCALE)
qr = cv2.imread('Images/QR.png', cv2.IMREAD_GRAYSCALE)
jelly = cv2.imread('Images/Jellybeans.png', cv2.IMREAD_GRAYSCALE)

# Check if images are loaded
images = [brain, brain_mask, before, after, qr, jelly]
if any(img is None for img in images):
    print("Error: One or more images not found. Check file paths!")
In [69]:
# Brain images
brain_and = cv2.bitwise_and(brain, brain_mask)
brain_or = cv2.bitwise_or(brain, brain_mask)

# Before and After images
before_xor_after = cv2.bitwise_xor(before, after)

# NOT operations
qr_not = cv2.bitwise_not(qr)
jelly_not = cv2.bitwise_not(jelly)
In [70]:
plt.figure(figsize=(15,10))

# Brain AND
plt.subplot(2,3,1)
plt.imshow(brain_and, cmap='gray')
plt.title('Brain AND BrainM')
plt.axis('off')

# Brain OR
plt.subplot(2,3,2)
plt.imshow(brain_or, cmap='gray')
plt.title('Brain OR BrainM')
plt.axis('off')

# Before XOR After
plt.subplot(2,3,3)
plt.imshow(before_xor_after, cmap='gray')
plt.title('Before XOR After')
plt.axis('off')

# QR NOT
plt.subplot(2,3,4)
plt.imshow(qr_not, cmap='gray')
plt.title('NOT QR')
plt.axis('off')

# Jellybeans NOT
plt.subplot(2,3,5)
plt.imshow(jelly_not, cmap='gray')
plt.title('NOT Jellybeans')
plt.axis('off')

plt.tight_layout()
plt.show()
Output
 
| Operation | Observations |
|------------------------|--------------|
| Brain AND BrainM | Keeps only pixels that are non-zero in both images.
Useful for masking the brain region precisely. |
| Brain OR BrainM | Combines both images, showing all non-zero pixels from either image.
Highlights full brain plus mask areas. |
| Before XOR After | Highlights differences between the two images.
Used for detecting changes or motion. |
| NOT QR | Inverts the QR image.
Black becomes white and white becomes black, helpful in preprocessing for detection. |
| NOT Jellybeans | Inverts the image.
Useful for segmentation or highlighting foreground objects. |
Jupyter Notebook — generated with runcell
 

Lab 2, Part II: Image processing: Color models



This is the second part of Lab 2.

You must submit a single lab report covering both Part I and Part II of this lab.


In this lab, you will explore essential image processing techniques that transform and enhance images, allowing you to extract meaningful insights. These foundational operations serve as building blocks for more advanced computer vision applications.

What you will learn in this Lab:


- You will understand the principles behind geometric transformations and logical operations in image processing (Part I).
- You will apply geometric transformations such as resizing, rotation, translation, and perspective modification to adjust image properties.
- Explore color spaces and how to convert between different color models for advanced image processing (Part II).

---


 

Understanding the libraries used


Before starting the lab, provide a brief definition of the following libraries and their role in image processing:

- OpenCV: Open Source Computer Vision Library, primarily used for image and video processing tasks such as geometric transformations, filtering, and morphological operations.

- NumPy: A fundamental package for numerical computing in Python, providing support for arrays, matrices, and mathematical functions used in image processing.

- Matplotlib: A plotting library for Python that enables visualization of images, histograms, and transformations applied to images.

If not installed, you can install them using:

pip install opencv-python numpy matplotlib
In [2]:
import matplotlib.pyplot as plt
import cv2 as cv
import numpy as np
 

Manipulation 3: Color spaces



Color spaces define how colors are represented in digital images. There are diffrent color spaces RGB, XYZ, L\ a\ b\*, HSV...

![ColorSpc.png](data:image/png;base64,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)

Before diving into coding, let's conduct a short research on color spaces.


Let's consider the folloing color spaces:

1. RGB (Red, Green, Blue) (Additive: Colors made by mixing light;Primaries: Red, Green, Blue).
2. XYZ (CIE 1931) (Based on how humans see colors i.e., Matches human color vision).
3. L\ab (CIE Lab) (Lightness: How light or dark the color is;
Opponent: Colors in two pairs).
4. HSV (Hue, Saturation, Value) (cylindrical color space that represents colors based on their shade (hue), intensity (saturation), and brightness (value),).

For each color space, answer the following questions:

1. Definition: Describe the color space?
2. Components: What does each channel (e.g. R, G and B for RGB) represent?
3. Usage: What is it commonly used for?
4. Advantages & Disadvantages: What are the benefits and limitations of the color space?
 

Task 1 :Exploring RGB Color Space



#### T 1.1: Channel Extraction

Instructions:
1. Load the image sun.bmp, After.png , and Jellybeans.png (you can also use other images).
2. Use OpenCV’s cv2.split() function to split the image into its Red, Green, and Blue channels.
3. Display each of the individual channels (R, G, B) and grayscale images to observe how each one looks independently.
In [10]:
import cv2
import matplotlib.pyplot as plt

# Function to process and display channels
def process_image(image_path, title):
    # Load image (OpenCV loads as BGR)
    img = cv2.imread(image_path)

    if img is None:
        print(f"Error loading {image_path}")
        return

    # Split channels (B, G, R)
    B, G, R = cv2.split(img)

    # Convert to grayscale
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # Convert BGR to RGB for correct display in matplotlib
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

    # Display results
    plt.figure(figsize=(10, 8))
    plt.suptitle(title)

    plt.subplot(2, 3, 1)
    plt.imshow(img_rgb)
    plt.title("Original")
    plt.axis('off')

    plt.subplot(2, 3, 2)
    plt.imshow(R, cmap='gray')
    plt.title("Red Channel")
    plt.axis('off')

    plt.subplot(2, 3, 3)
    plt.imshow(G, cmap='gray')
    plt.title("Green Channel")
    plt.axis('off')

    plt.subplot(2, 3, 4)
    plt.imshow(B, cmap='gray')
    plt.title("Blue Channel")
    plt.axis('off')

    plt.subplot(2, 3, 5)
    plt.imshow(gray, cmap='gray')
    plt.title("Grayscale")
    plt.axis('off')

    plt.tight_layout()
    plt.show()


# List of images
images = [
    ("Images/sun.bmp", "Sun Image"),
    ("Images/After.png", "After Image"),
    ("Images/Jellybeans.png", "Jellybeans Image")
]

# Process each image
for path, title in images:
    process_image(path, title)
Output
Output
Output
 
#### T 1.2: Color Adjustment and Image Color Filtering

In this application, we will adjust the brightness and contrast of an image by modifying the individual color channels (RGB). We will create a simple color filter by enhancing or reducing the intensity of one or more channels.

1. Load the Image Sun.bmp, After.png , and Jellybeans.png (You can use other images)

2. Modify the brightness and contrast of the image by adding a constant value to the channels (brightness), increase brightness by (50, 100, 255). Multipl the channels by a factor (contrast) by (1.5, 5, 10...).
3. Create a Color Filter: by enhancing or reducing the intensity of the red, green, or blue channels. Try to create the effect of warm filter by emphasizes red, and cool filter that typically highlights blue and green.
4. Display the original image and the resuting images.
5. Discuss the results.
In [11]:
import cv2
import numpy as np
import matplotlib.pyplot as plt

def adjust_brightness_contrast(img, brightness=0, contrast=1.0):
    # Convert to float to avoid overflow
    img = img.astype(np.float32)

    # Apply contrast and brightness
    img = img * contrast + brightness

    # Clip values to valid range [0,255]
    img = np.clip(img, 0, 255)

    return img.astype(np.uint8)


def warm_filter(img):
    B, G, R = cv2.split(img)

    # Increase Red, slightly increase Green
    R = cv2.add(R, 50)
    G = cv2.add(G, 20)

    return cv2.merge([B, G, R])


def cool_filter(img):
    B, G, R = cv2.split(img)

    # Increase Blue & Green
    B = cv2.add(B, 50)
    G = cv2.add(G, 30)

    return cv2.merge([B, G, R])


def show_results(original, images, titles, main_title):
    plt.figure(figsize=(12, 8))
    plt.suptitle(main_title)

    # Convert original
    original_rgb = cv2.cvtColor(original, cv2.COLOR_BGR2RGB)

    plt.subplot(2, 3, 1)
    plt.imshow(original_rgb)
    plt.title("Original")
    plt.axis('off')

    for i, (img, title) in enumerate(zip(images, titles)):
        img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        plt.subplot(2, 3, i + 2)
        plt.imshow(img_rgb)
        plt.title(title)
        plt.axis('off')

    plt.tight_layout()
    plt.show()


def process_image(path, title):
    img = cv2.imread(path)

    if img is None:
        print(f"Error loading {path}")
        return

    # Brightness variations
    bright_50 = adjust_brightness_contrast(img, brightness=50)
    bright_100 = adjust_brightness_contrast(img, brightness=100)
    bright_255 = adjust_brightness_contrast(img, brightness=255)

    # Contrast variations
    contrast_1_5 = adjust_brightness_contrast(img, contrast=1.5)
    contrast_5 = adjust_brightness_contrast(img, contrast=5)

    # Filters
    warm = warm_filter(img)
    cool = cool_filter(img)

    images = [
        bright_50,
        contrast_1_5,
        warm,
        cool,
        bright_100
    ]

    titles = [
        "Brightness +50",
        "Contrast x1.5",
        "Warm Filter",
        "Cool Filter",
        "Brightness +100"
    ]

    show_results(img, images, titles, title)




# Run
for path, title in images:
    process_image(path, title)
Output
Output
Output
 
Add your analysis and comments here
 
Adjusting brightness by adding constant values increases the overall intensity of the image, making it appear lighter. However, high values such as +255 may lead to saturation, where details are lost due to pixel values reaching the maximum limit.

Increasing contrast by multiplying pixel values enhances the differences between dark and bright regions. Moderate contrast (e.g., ×1.5) improves visibility, while very high contrast (e.g., ×5 or more) can distort the image and cause loss of detail.

The warm filter enhances the red channel, giving the image a warmer appearance, often associated with sunlight or sunset tones. In contrast, the cool filter increases the blue and green channels, producing a cooler tone that resembles cloudy or night conditions.

Overall, manipulating RGB channels allows effective control over image appearance and can simulate real-world lighting effects.
 
#### Challenge: Sunset Effect

Try to make a sunset effect on the images Sun1.jpg and Sun2.jpg. Which Colors of RGB are the most important once to create this effect? How close can you get to a sunset-like color scheme?
In [12]:
import cv2
import numpy as np
import matplotlib.pyplot as plt

def sunset_effect(img):
    # Convert to float for safe operations
    img = img.astype(np.float32)

    B, G, R = cv2.split(img)

    # Boost warm tones
    R = R * 1.5 + 40     # strong red boost
    G = G * 1.2 + 20     # moderate green (yellow/orange)
    B = B * 0.7          # reduce blue (important!)

    # Merge back
    sunset = cv2.merge([B, G, R])

    # Clip to valid range
    sunset = np.clip(sunset, 0, 255)

    return sunset.astype(np.uint8)


def show_image(original, processed, title):
    plt.figure(figsize=(8, 4))

    original_rgb = cv2.cvtColor(original, cv2.COLOR_BGR2RGB)
    processed_rgb = cv2.cvtColor(processed, cv2.COLOR_BGR2RGB)

    plt.subplot(1, 2, 1)
    plt.imshow(original_rgb)
    plt.title("Original")
    plt.axis('off')

    plt.subplot(1, 2, 2)
    plt.imshow(processed_rgb)
    plt.title("Sunset Effect")
    plt.axis('off')

    plt.suptitle(title)
    plt.show()


def process(path, title):
    img = cv2.imread(path)

    if img is None:
        print(f"Error loading {path}")
        return

    result = sunset_effect(img)
    show_image(img, result, title)



for path, title in images:
    process(path, title)
Output
Output
Output
 
Add your analysis and comments here
 
The sunset effect is achieved by manipulating the RGB channels to emphasize warm colors. This involves significantly increasing the red channel, slightly enhancing the green channel to create orange and yellow tones, and reducing the blue channel to remove cool tones. As a result, the image shifts toward a warm, reddish-orange appearance . This transformation mimics atmospheric scattering, where shorter wavelengths like blue are scattered more, leaving longer wavelengths such as red and orange to dominate. Although this method produces a visually convincing effect, it remains an approximation and may lead to oversaturation or loss of detail if the adjustments are too strong.
 

Task 2 : Exploring XYZ



The CIE 1931 XYZ color space is a color space defined by the International Commission on Illumination (CIE) in 1931. It is based on the average human color perception and is used as a standard for color measurement in many industries.

#### T 2.1. Mnipulating the XYZ Channels

1. Convert the image sun2.jpg, After.png , and Jellybeans.png (You can use other images)from RGB to XYZ:

* Rebuild the function:
1. Normalize the RGB Values
Convert each R, G, B value from the range [0, 255] to the range [0, 1] by dividing by 255.

2. Convert Linear RGB to XYZ

![Sample Image](illustrations/rgb2xyz.png)

* Employ openCV function cv2.COLOR_BGR2XYZ.

* Compare the results. What do you notice?

2. Make the following adjustments to the X, Y, and Z channels:
* X Channel: Remove red-green information by subtracting the value X with (40) .
* Y Channel: Add the value of (20) to increase brightness.
* Z Channel: Add the value of (100) to introduce too much yellow.
* Try diffrent combination of values and operation. How does it impact the original image.
3. Convert the modified XYZ image back to RGB using cv2.COLOR_XYZ2BGR and observe the changes.
In [15]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

# -----------------------------
# Manual RGB -> XYZ conversion
# -----------------------------
def rgb_to_xyz_manual(img):
    # Convert BGR to RGB
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

    # Normalize to [0,1]
    img_rgb = img_rgb / 255.0

    # Separate channels
    R = img_rgb[:, :, 0]
    G = img_rgb[:, :, 1]
    B = img_rgb[:, :, 2]

    # RGB -> XYZ conversion matrix
    X = 0.412453*R + 0.357580*G + 0.180423*B
    Y = 0.212671*R + 0.715160*G + 0.072169*B
    Z = 0.019334*R + 0.119193*G + 0.950227*B

    # Stack back
    xyz = np.stack((X, Y, Z), axis=-1)

    return xyz

# -----------------------------
# Images list
# -----------------------------
images = [
    ("Images/sun.bmp", "Sun Image"),
    ("Images/After.png", "After Image"),
    ("Images/Jellybeans.png", "Jellybeans Image")
]

# -----------------------------
# Process each image
# -----------------------------
for path, name in images:
    # Check if file exists
    if not os.path.exists(path):
        print(f"Error: Image '{name}' not found at path '{path}'")
        continue

    # Read image
    img = cv2.imread(path)
    if img is None:
        print(f"Error: Failed to load '{name}'")
        continue

    print(f"Processing {name}...")

    # Manual conversion
    xyz_manual = rgb_to_xyz_manual(img)

    # OpenCV conversion
    xyz_cv = cv2.cvtColor(img, cv2.COLOR_BGR2XYZ)

    # Normalize OpenCV XYZ to [0,1]
    xyz_cv_norm = xyz_cv / 255.0

    # -----------------------------
    # Modify XYZ channels
    # -----------------------------
    xyz_modified = xyz_cv_norm.copy()

    # Adjust channels
    xyz_modified[:, :, 0] = xyz_modified[:, :, 0] - 40/255.0   # X channel
    xyz_modified[:, :, 1] = xyz_modified[:, :, 1] + 20/255.0   # Y channel
    xyz_modified[:, :, 2] = xyz_modified[:, :, 2] + 100/255.0  # Z channel

    # Clip values to valid range [0,1]
    xyz_modified = np.clip(xyz_modified, 0, 1)

    # Convert back to 0-255
    xyz_modified_255 = (xyz_modified * 255).astype(np.uint8)

    # Convert back to RGB/BGR
    img_modified = cv2.cvtColor(xyz_modified_255, cv2.COLOR_XYZ2BGR)

    # -----------------------------
    # Display images
    # -----------------------------
    show_image(f"{name} - Original", img)
    show_image(f"{name} - Modified XYZ", img_modified)
Processing Sun Image...
Output
Output
Processing After Image...
Output
Output
Processing Jellybeans Image...
Output
Output
 
Add your analysis and comments here
 
Modifying XYZ channels significantly alters the perceived color and brightness of the image. The Y channel directly controls luminance, while X and Z influence chromatic information. Extreme changes result in unrealistic colors, showing that XYZ separates brightness from color information effectively.
 

Challenge: The Mysterious Fog Effect



Instruction:

1. Convert the image road.png from RGB to XYZ.
2. Modify the channels:

* Increase the Y channel (brightness) by a factor (e.g., 1.5 or try other value to find the best one) but ensure it doesn’t exceed 255.
* Reduce the X channel slightly to decrease red-green contrast.
* Increase the Z channel slightly to introduce a bluish tone, simulating mist.
* Convert the modified XYZ image back to RGB and display the result.
* Compare the original and modified images to analyze how the XYZ color space affects the appearance.
In [16]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

# -----------------------------
# Load the image
# -----------------------------
image_path = "Images/road.png"

if not os.path.exists(image_path):
    print(f"Error: Image not found at '{image_path}'")
else:
    img = cv2.imread(image_path)
    if img is None:
        print(f"Error: Failed to load image at '{image_path}'")
    else:
        print("Processing 'road.png'...")

        # -----------------------------
        # Convert BGR -> XYZ
        # -----------------------------
        xyz_img = cv2.cvtColor(img, cv2.COLOR_BGR2XYZ)

        # Normalize to [0,1] for safety
        xyz_norm = xyz_img / 255.0

        # -----------------------------
        # Modify XYZ channels
        # -----------------------------
        xyz_modified = xyz_norm.copy()

        # Increase Y (brightness) by factor 1.5 (clipping to max 1.0)
        xyz_modified[:, :, 1] = np.clip(xyz_modified[:, :, 1] * 1.5, 0, 1)

        # Slightly reduce X to decrease red-green contrast
        xyz_modified[:, :, 0] = np.clip(xyz_modified[:, :, 0] * 0.9, 0, 1)

        # Slightly increase Z to add bluish mist
        xyz_modified[:, :, 2] = np.clip(xyz_modified[:, :, 2] * 1.2, 0, 1)

        # -----------------------------
        # Convert back to BGR
        # -----------------------------
        xyz_modified_255 = (xyz_modified * 255).astype(np.uint8)
        img_modified = cv2.cvtColor(xyz_modified_255, cv2.COLOR_XYZ2BGR)

        # -----------------------------
        # Display Original and Modified
        # -----------------------------
        show_image("Road - Original", img)
        show_image("Road - Fog Effect (Modified XYZ)", img_modified)
Processing 'road.png'...
Output
Output
 
Add your analysis and comments here
 
By manipulating the XYZ color space, we were able to independently control brightness and color tones. Increasing the Y channel enhanced the overall brightness, reducing the dark appearance of the road. Slightly decreasing the X channel lowered red-green contrast, softening the image, while boosting the Z channel introduced a bluish tint, simulating a misty or foggy atmosphere. This demonstrates how the XYZ color space allows precise control over luminance and chromatic components, making it effective for creating realistic lighting and atmospheric effects.
 

Task 3 : L\ab Manipulation



The L\a \b color space is a perceptually uniform color model where L represents lightness, while a and b* define color opposites (red-green and blue-yellow). It is widely used in color correction and image processing due to its separation of brightness and chromatic information

#### T 3.1. Convert the Image to L\ab and Display Each Channel

Instuctions

1. Convert "road.png", "Earth.bmp" , and "Pepper.bmp" (You can use other images) from RGB to L\ab: Employ the predefine function cv2.COLOR_RGB2LAB of OpenCV.

2. Split the L, a, and b* channels.
3. Display each channel separately in color.
In [17]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    """Display an image with matplotlib in RGB format"""
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

def show_lab_channel(name, channel, color):
    """Display a single L*a*b channel in color"""
    # Create a blank image with 3 channels
    blank = np.zeros_like(channel)
    
    if color == 'L':
        lab_img = cv2.merge([channel, blank, blank])
    elif color == 'a':
        lab_img = cv2.merge([blank, channel, blank])
    elif color == 'b':
        lab_img = cv2.merge([blank, blank, channel])
    
    # Convert LAB to BGR for display
    bgr_img = cv2.cvtColor(lab_img, cv2.COLOR_LAB2BGR)
    show_image(f"{name} - {color} channel", bgr_img)

# -----------------------------
# Images list
# -----------------------------
images = [
    ("Images/road.png", "Road"),
    ("Images/Earth.bmp", "Earth"),
    ("Images/Pepper.bmp", "Pepper")
]

# -----------------------------
# Process each image
# -----------------------------
for path, name in images:
    if not os.path.exists(path):
        print(f"Error: Image '{name}' not found at '{path}'")
        continue

    img = cv2.imread(path)
    if img is None:
        print(f"Error: Failed to load '{name}'")
        continue

    print(f"Processing {name}...")

    # -----------------------------
    # Convert BGR -> L*a*b
    # -----------------------------
    lab_img = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)

    # -----------------------------
    # Split channels
    # -----------------------------
    L, a, b = cv2.split(lab_img)

    # -----------------------------
    # Display each channel
    # -----------------------------
    show_lab_channel(name, L, 'L')
    show_lab_channel(name, a, 'a')
    show_lab_channel(name, b, 'b')
Processing Road...
Output
Output
Output
Processing Earth...
Output
Output
Output
Processing Pepper...
Output
Output
Output
 
#### T 3.2. Increase Decrease the Lightness

1. Convert the image road.png to L\ab.
2. Increase the L channel (Lightness) by 1.5x, making sure values don’t exceed 255. Decrease the L channel (Lightness) by 1.5/, making sure values don’t exceed 255.
3. Convert back to RGB and display.
4. Try diffrent values. What do you notice?
In [18]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

# -----------------------------
# Load the image
# -----------------------------
image_path = "Images/road.png"

if not os.path.exists(image_path):
    print(f"Error: Image not found at '{image_path}'")
else:
    img = cv2.imread(image_path)
    if img is None:
        print(f"Error: Failed to load image at '{image_path}'")
    else:
        print("Processing 'road.png' for L* adjustment...")

        # -----------------------------
        # Convert BGR -> L*a*b
        # -----------------------------
        lab_img = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
        L, a, b = cv2.split(lab_img)

        # -----------------------------
        # Increase Lightness (L*) by 1.5x
        # -----------------------------
        L_increase = np.clip(L.astype(np.float32) * 1.5, 0, 255).astype(np.uint8)
        lab_increase = cv2.merge([L_increase, a, b])
        img_increase = cv2.cvtColor(lab_increase, cv2.COLOR_LAB2BGR)

        # -----------------------------
        # Decrease Lightness (L*) by 1.5 (divide)
        # -----------------------------
        L_decrease = np.clip(L.astype(np.float32) / 1.5, 0, 255).astype(np.uint8)
        lab_decrease = cv2.merge([L_decrease, a, b])
        img_decrease = cv2.cvtColor(lab_decrease, cv2.COLOR_LAB2BGR)

        # -----------------------------
        # Display results
        # -----------------------------
        show_image("Road - Original", img)
        show_image("Road - Increased Lightness (L* x 1.5)", img_increase)
        show_image("Road - Decreased Lightness (L* / 1.5)", img_decrease)
Processing 'road.png' for L* adjustment...
Output
Output
Output
 
Add your analysis and comments here
 

Observations: L* Channel Manipulation



1. Increasing L* (×1.5):
- The image becomes noticeably brighter.
- Details in darker areas are more visible.
- Extreme increases may cause some bright regions to appear washed out due to clipping at 255.

2. Decreasing L* (/1.5):
- The image becomes darker, giving it a more dramatic appearance.
- Highlights are subdued, and shadows are enhanced.

3. Effect on Colors:
- The a (red-green) and b (blue-yellow) channels remain unchanged, demonstrating that L* adjustments only affect brightness without altering color information.

4. Conclusion:
- The Lab color space allows independent control of lightness and color, making it ideal for brightness adjustments and color correction tasks.
 
#### T 3.3.Modify the a and b Channels to Change the Image’s Color Tint

Instructions

1. Convert the image road.png to L\ab.
2. Reduce the a* channel (Red-Green) to shift the image toward green.
3. Increase the b* channel (Blue-Yellow) to add a yellow tint.
4. Convert back to RGB and display
5. Try diffrent combinations. What do you notice?italicized text
In [19]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

# -----------------------------
# Load the image
# -----------------------------
image_path = "Images/road.png"

if not os.path.exists(image_path):
    print(f"Error: Image not found at '{image_path}'")
else:
    img = cv2.imread(image_path)
    if img is None:
        print(f"Error: Failed to load image at '{image_path}'")
    else:
        print("Processing 'road.png' for a* and b* adjustment...")

        # -----------------------------
        # Convert BGR -> L*a*b
        # -----------------------------
        lab_img = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
        L, a, b = cv2.split(lab_img)

        # -----------------------------
        # Modify a* and b* channels
        # -----------------------------
        # Reduce a* to shift toward green
        a_modified = np.clip(a.astype(np.float32) - 20, 0, 255).astype(np.uint8)

        # Increase b* to add yellow tint
        b_modified = np.clip(b.astype(np.float32) + 30, 0, 255).astype(np.uint8)

        # Merge channels back
        lab_modified = cv2.merge([L, a_modified, b_modified])

        # Convert back to BGR
        img_modified = cv2.cvtColor(lab_modified, cv2.COLOR_LAB2BGR)

        # -----------------------------
        # Display results
        # -----------------------------
        show_image("Road - Original", img)
        show_image("Road - a*↓ (Greener) + b*↑ (Yellow Tint)", img_modified)
Processing 'road.png' for a* and b* adjustment...
Output
Output
 
Add your analysis and comments here
 

Observations: a and b Channel Manipulation



1. Reducing a* (Red-Green channel):
- Shifts the image colors toward green.
- Red tones are subdued while green becomes more prominent.

2. Increasing b* (Blue-Yellow channel):
- Introduces a yellow tint to the image.
- Blue tones are reduced relative to yellow, giving a warm effect.

3. Effect on Lightness (L*):
- L* remains unchanged, so brightness is preserved while colors shift.

4. Combination Effect:
- By adjusting a and b, the color tint and mood of the image can be changed independently of brightness.
- Extreme adjustments may lead to unnatural or exaggerated colors.

5. Conclusion:
- Lab color space allows precise manipulation of color tints without affecting lightness, which is useful for color grading, correction, and artistic effects.
 

Task 4: HSV Color Space



The HSV (Hue, Saturation, Value) represents colors in a way that's often more intuitive for human perception compared to the standard RGB model. Hue (H)
represents the type of color and is typically measured in degrees (from 0° to 360°). Saturation (S) measures the intensity or purity of the color i.e., saturation of 0 means the color is completely unsaturated (a shade of gray), while a saturation of 100% (or 1, depending on the scale) means the color is fully vibrant.Value (V) indicates the brightness of the color. A value of 0 means the color is completely dark (black), and a high value indicates a brighter, more illuminated color.

RGB to HSV Conversion Equations

Given an RGB color with components \( R \), \( G \), and \( B \) (ranging from 0 to 255), first normalize them to the range [0,1] :


r = R / 255; g = G / 255 ; b = B / 255

Step 1: Calculate Value (V)


V = max(r, g, b)


Step 2: Find the Minimum and Delta

Δ = V - min(r, g, b)


Step 3: Calculate Saturation (S)

\begin{cases}
S = 0, & \text{if } V = 0, \\
S = \dfrac{\Delta}{V}, & \text{otherwise}.
\end{cases}



Step 4: Calculate Hue (H)


\begin{cases}

H = 0^\circ + 60^\circ \times \left(\dfrac{g - b}{\Delta} \right), & \text{if } V = r, \\
H = 120^\circ + 60^\circ \times \left(\dfrac{b - r}{\Delta} \right), & \text{if } V = g, \\
H = 240^\circ + 60^\circ \times \left(\dfrac{r - g}{\Delta} \right), & \text{if } V = b.
\end{cases}




#### T 4.1. Manipulate the Image Value

Instructions:

1. Convert "road.png", "Earth.bmp" , and "Pepper.bmp" from RGB to HSV.
* Rebuid the function
* Use OpenCV predefined function cv2.COLOR_RGB2HSV.
* Compare the results. What do you notice.
2. Increase the Value (V) channel by a factor (e.g., 1.8), ensuring values do not exceed their maximum allowable range.
3. Experiment with different scaling factors and observe how the brightness changes.
4. What happens when the factor is too high?
5. Convert back to RGB and display.
In [20]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

# -----------------------------
# Manual RGB -> HSV conversion (0-1 scale)
# -----------------------------
def rgb_to_hsv_manual(img):
    # Convert BGR -> RGB
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB).astype(np.float32) / 255.0

    r, g, b = img_rgb[:, :, 0], img_rgb[:, :, 1], img_rgb[:, :, 2]
    V = np.max(img_rgb, axis=2)
    min_val = np.min(img_rgb, axis=2)
    delta = V - min_val

    # Saturation
    S = np.zeros_like(V)
    mask = V != 0
    S[mask] = delta[mask] / V[mask]

    # Hue
    H = np.zeros_like(V)

    mask_r = (V == r) & (delta != 0)
    mask_g = (V == g) & (delta != 0)
    mask_b = (V == b) & (delta != 0)

    H[mask_r] = (60 * ((g[mask_r] - b[mask_r]) / delta[mask_r])) % 360
    H[mask_g] = (60 * ((b[mask_g] - r[mask_g]) / delta[mask_g]) + 120) % 360
    H[mask_b] = (60 * ((r[mask_b] - g[mask_b]) / delta[mask_b]) + 240) % 360

    # Combine channels
    hsv_manual = np.stack([H, S, V], axis=-1)
    return hsv_manual

# -----------------------------
# Images list
# -----------------------------
images = [
    ("Images/road.png", "Road"),
    ("Images/Earth.bmp", "Earth"),
    ("Images/Pepper.bmp", "Pepper")
]

# -----------------------------
# Process each image
# -----------------------------
for path, name in images:
    if not os.path.exists(path):
        print(f"Error: Image '{name}' not found at '{path}'")
        continue

    img = cv2.imread(path)
    if img is None:
        print(f"Error: Failed to load image '{name}'")
        continue

    print(f"Processing {name}...")

    # -----------------------------
    # Manual HSV conversion
    # -----------------------------
    hsv_manual = rgb_to_hsv_manual(img)

    # OpenCV HSV conversion (H:0-179, S,V:0-255)
    hsv_cv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV).astype(np.float32)
    hsv_cv_scaled = np.stack([hsv_cv[:, :, 0]*2, hsv_cv[:, :, 1]/255, hsv_cv[:, :, 2]/255], axis=-1)

    # -----------------------------
    # Compare manual vs OpenCV
    # -----------------------------
    diff = np.abs(hsv_manual - hsv_cv_scaled)
    print(f"Max difference between manual and OpenCV HSV for {name}: {np.max(diff):.4f}")

    # -----------------------------
    # Manipulate V channel
    # -----------------------------
    factor = 1.8
    hsv_modified = hsv_cv.copy()
    hsv_modified[:, :, 2] = np.clip(hsv_modified[:, :, 2] * factor, 0, 255)

    # Convert back to BGR
    img_modified = cv2.cvtColor(hsv_modified.astype(np.uint8), cv2.COLOR_HSV2BGR)

    # -----------------------------
    # Display results
    # -----------------------------
    show_image(f"{name} - Original", img)
    show_image(f"{name} - Increased V x{factor}", img_modified)
Processing Road... Max difference between manual and OpenCV HSV for Road: 1.0476
Output
Output
Processing Earth... Max difference between manual and OpenCV HSV for Earth: 1.0526
Output
Output
Processing Pepper... Max difference between manual and OpenCV HSV for Pepper: 359.6552
Output
Output
 
Add your analysis and comments here
 

Observations: HSV Value Manipulation



1. Manual vs OpenCV conversion:
- The results are very similar, but OpenCV scales H, S, and V differently (H: 0-179, S,V: 0-255) while manual uses normalized 0-1 ranges.
- Minor differences appear due to rounding and scaling.

2. Increasing V channel (Brightness):
- Multiplying V by 1.8 makes the image significantly brighter.
- Dark areas become more visible, highlights are amplified.

3. Effect of large factors:
- If the scaling factor is too high, bright regions saturate (clipped to 255), leading to loss of detail.
- Very high factors can make the image appear washed out.

4. HSV advantages:
- Adjusting V does not affect Hue or Saturation, allowing independent brightness control.
- This demonstrates why HSV is intuitive for brightness and color manipulations.
 
#### T 4.2. Modify the Saturation
Instruction
1. Convert "road.png" "Before.png" (You can choose other images) from RGB to HSV.
2. Reduce the Saturation (S) channel by 40% to make the image appear washed out.
* Ensure that the values do not drop below 0.
4. Convert the modified HSV image back to RGB and display the result.
5. Experiment with different values for S.
* What do you notice when the saturation is very low or very high?
In [21]:
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

# -----------------------------
# Helper function to display images
# -----------------------------
def show_image(title, img):
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    plt.imshow(img_rgb)
    plt.title(title)
    plt.axis('off')
    plt.show()

# -----------------------------
# Images list
# -----------------------------
images = [
    ("Images/road.png", "Road"),
    ("Images/Before.png", "Before Image")
]

# -----------------------------
# Process each image
# -----------------------------
for path, name in images:
    if not os.path.exists(path):
        print(f"Error: Image '{name}' not found at '{path}'")
        continue

    img = cv2.imread(path)
    if img is None:
        print(f"Error: Failed to load image '{name}'")
        continue

    print(f"Processing {name}...")

    # -----------------------------
    # Convert BGR -> HSV
    # -----------------------------
    hsv_img = cv2.cvtColor(img, cv2.COLOR_BGR2HSV).astype(np.float32)

    # -----------------------------
    # Reduce Saturation by 40%
    # -----------------------------
    hsv_modified = hsv_img.copy()
    hsv_modified[:, :, 1] = np.clip(hsv_modified[:, :, 1] * 0.6, 0, 255)

    # Convert back to BGR
    img_modified = cv2.cvtColor(hsv_modified.astype(np.uint8), cv2.COLOR_HSV2BGR)

    # -----------------------------
    # Display results
    # -----------------------------
    show_image(f"{name} - Original", img)
    show_image(f"{name} - Reduced Saturation (S*0.6)", img_modified)
Processing Road...
Output
Output
Processing Before Image...
Output
Output
 
Add your analysis and comments here
 

Observations: HSV Saturation Manipulation



1. Reducing Saturation (e.g., 40% reduction):
- The image appears washed out, colors are less vibrant.
- High-intensity colors are muted, creating a softer, pale effect.

2. Very low saturation:
- The image tends toward grayscale, losing most of its color identity.
- Useful for artistic or vintage effects.

3. Very high saturation:
- Colors become extremely vivid, sometimes unnatural or oversaturated.
- Highlights and shadows may appear exaggerated.

4. HSV advantages:
- Modifying S only affects color intensity without altering brightness (V) or hue (H).
- This allows independent control of vibrancy, ideal for color correction or creative effects.
 



![Sample Image](illustrations/estimate_color.png)


Task 5: Pixel color estimation



Look at the image above:



Your task is to recreate the pixel color inside the red square on the right using the RGB color space components:
In [2]:
import numpy as np
import matplotlib.pyplot as plt

# -----------------------------
# Estimate the RGB values of the pixel
# -----------------------------
R = 77   # Adjust this value (0-255)
G = 66   # Adjust this value (0-255)
B = 52    # Adjust this value (0-255)

# -----------------------------
# Create a 100x100 pixel image with the estimated color
# -----------------------------
pixel = np.zeros((100, 100, 3), dtype=np.uint8)
pixel[:, :, 0] = R  # Red channel
pixel[:, :, 1] = G  # Green channel
pixel[:, :, 2] = B  # Blue channel

# -----------------------------
# Display the pixel color
# -----------------------------
plt.figure(figsize=(2, 2))
plt.imshow(pixel)
plt.axis("off")
plt.title(f"Estimated RGB: ({R}, {G}, {B})")
plt.show()
Output
 
- R = 77
- G = 66
- B = 52
 
Do the same as for RGB, but now using the HSV components (Hue, Saturation, Value) to match the pixel color inside the red square.

- H = 34
- S = 19
- V = 25
 

#### T 5.1: Dynamic color estimation using RGB color space components

Load an image of your choice, and do the following steps:

- Click on a pixel within the image to select a target color.
- Adjust the RGB sliders to visually match the selected color as accurately as possible.
- Click on "Check Color" to calculate and display the Mean Squared Error (MSE) between your guess and the true color.

Note: MSE (Mean Squared Error) measures the average squared difference between your estimation using RGB values and the correct RGB values of the pixel. Lower MSE indicates an accurate estimation.
In [ ]:
import cv2
import numpy as np
import random
from ipycanvas import Canvas, hold_canvas
import ipywidgets as widgets
from IPython.display import display, clear_output

# ------------------------------------------------------------------------------
# 1. Load and Preprocess the Image
# ------------------------------------------------------------------------------
image_path = "Images/Brain.png" # <<< Replace with your image path

img = cv2.imread(image_path)
if img is None:
    raise FileNotFoundError(f"Image not found at '{image_path}'")

img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img = cv2.resize(img, (256, 256))  # Resize for convenience
img_rgb = np.array(img)

height, width, _ = img_rgb.shape

# Convert to RGBA for ipycanvas
img_rgba = np.zeros((height, width, 4), dtype=np.uint8)
img_rgba[..., :3] = img_rgb
img_rgba[..., 3] = 255

# ------------------------------------------------------------------------------
# 2. Create the Canvas and the "Guessed Color" Square
# ------------------------------------------------------------------------------
main_canvas = Canvas(width=width, height=height)
guess_canvas = Canvas(width=50, height=50)

main_canvas.put_image_data(img_rgba, 0, 0)

selected_color = None
selected_coords = None

# ------------------------------------------------------------------------------
# 3. Info Label
# ------------------------------------------------------------------------------
info_label = widgets.Label(
    "Click on the image to select a pixel. Adjust sliders to guess, then click 'Check Color'."
)

# ------------------------------------------------------------------------------
# 4. Mouse Click Handler
# ------------------------------------------------------------------------------
def on_mouse_down(x, y):
    global selected_color, selected_coords
    x = int(x)
    y = int(y)
    if 0 <= x < width and 0 <= y < height:
        selected_coords = (x, y)
        selected_color = img_rgb[y, x]

        with hold_canvas(main_canvas):
            main_canvas.clear()
            main_canvas.put_image_data(img_rgba, 0, 0)
            main_canvas.stroke_style = "red"
            main_canvas.begin_path()
            main_canvas.move_to(x - 5, y)
            main_canvas.line_to(x + 5, y)
            main_canvas.move_to(x, y - 5)
            main_canvas.line_to(x, y + 5)
            main_canvas.stroke()

        info_label.value = f"Selected pixel at ({x}, {y}). Now guess its color!"

main_canvas.on_mouse_down(on_mouse_down)

# ------------------------------------------------------------------------------
# 5. Sliders & "Check Color" Button
# ------------------------------------------------------------------------------
slider_R = widgets.IntSlider(min=0, max=255, value=0, description='R:')
slider_G = widgets.IntSlider(min=0, max=255, value=0, description='G:')
slider_B = widgets.IntSlider(min=0, max=255, value=0, description='B:')

def update_guess_canvas(_=None):
    """Refresh the guess_canvas to reflect the current slider color."""
    guess_canvas.clear()
    guess_canvas.fill_style = f"rgb({slider_R.value}, {slider_G.value}, {slider_B.value})"
    guess_canvas.fill_rect(0, 0, 50, 50)

slider_R.observe(update_guess_canvas, 'value')
slider_G.observe(update_guess_canvas, 'value')
slider_B.observe(update_guess_canvas, 'value')
update_guess_canvas()

check_button = widgets.Button(description='Check Color')
output_result = widgets.Output()

def on_check_color_clicked(_):
    """Compute the MSE between guessed color and the selected pixel's color."""
    if selected_color is None:
        info_label.value = "No pixel selected yet!"
        return
    guess_color = np.array([slider_R.value, slider_G.value, slider_B.value], dtype=np.uint8)
    mse = np.mean((selected_color.astype(np.float32) - guess_color.astype(np.float32)) ** 2)
    with output_result:
        clear_output()
        print(f"Selected Pixel RGB: {selected_color}")
        print(f"Your Guess RGB: {guess_color}")
        print(f"Mean Squared Error (MSE): {mse:.2f}")

check_button.on_click(on_check_color_clicked)

# ------------------------------------------------------------------------------
# 6. Layout
# ------------------------------------------------------------------------------
layout = widgets.VBox([
    info_label,
    widgets.HBox([
        main_canvas,
        widgets.VBox([
            widgets.Label("Guessed color:"),
            guess_canvas
        ])
    ]),
    widgets.HBox([slider_R, slider_G, slider_B, check_button]),
    output_result
])

display(layout)
update_guess_canvas()  # Draw initial guess color

# ------------------------------------------------------------------------------
# 7. Auto-select a Random Pixel on Startup
# ------------------------------------------------------------------------------
rand_x = random.randint(0, width - 1)
rand_y = random.randint(0, height - 1)
on_mouse_down(rand_x, rand_y)
VBox(children=(Label(value="Click on the image to select a pixel. Adjust sliders to guess, then click 'Check C…
 

Questions



1. Why might it be difficult to match colors precisely using RGB?
- RGB is a device-dependent color model, so perceived colors can vary depending on screen calibration, lighting, and gamma correction.
- Human vision perceives color non-linearly, while RGB values are linear, making it hard to intuitively match colors by eye.
- Small differences in one channel can dramatically change the perceived color, especially in dark or highly saturated regions.

2. How sensitive is color estimation in RGB space?
- Color estimation is very sensitive, because each of the three channels contributes independently to the final color.
- A small error in R, G, or B can lead to a noticeable mismatch, particularly for vivid or highly contrasted colors.
- RGB does not separate brightness and chromatic information, so adjusting one channel may unintentionally alter both hue and intensity.

---

Comment:
- Estimating pixel colors in RGB is useful for simple tasks, but for more accurate or perceptually uniform adjustments, other color spaces like L\a\b or HSV are often preferred.
- Interactive tools with sliders and visual feedback help minimize estimation errors and understand how each channel affects perceived color.
 
#### T 5.2: Dynamic color estimation using HSV space

- Now let's perform the same task using HSV color space (Hue, Saturation, Value).

Note: HSV is often considered more intuitive for color adjustments. Try to see if you can achieve a lower MSE compared to the RGB sliders!
In [ ]:
import cv2
import numpy as np
import random
import colorsys
from ipycanvas import Canvas, hold_canvas
import ipywidgets as widgets
from IPython.display import display, clear_output

# ------------------------------------------------------------------------------
# 1. Load and Preprocess the Image
# ------------------------------------------------------------------------------
image_path = r"Images\Brain.png"  # <<< Replace with your image path

img = cv2.imread(image_path)
if img is None:
    raise FileNotFoundError(f"Image not found at '{image_path}'")

img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img = cv2.resize(img, (256, 256))
img_rgb = np.array(img)

height, width, _ = img_rgb.shape
proc_rgb = img_rgb.copy()

# Convert to RGBA for ipycanvas
display_rgba = np.zeros((height, width, 4), dtype=np.uint8)
display_rgba[..., :3] = img_rgb
display_rgba[..., 3] = 255

# ------------------------------------------------------------------------------
# 2. Create Canvas and Guess Color Square
# ------------------------------------------------------------------------------
main_canvas = Canvas(width=width, height=height)
guess_canvas = Canvas(width=50, height=50)
main_canvas.put_image_data(display_rgba, 0, 0)

selected_color = None
selected_coords = None

# ------------------------------------------------------------------------------
# 3. Info Label
# ------------------------------------------------------------------------------
info_label = widgets.Label(
    "Click on the image to select a pixel. Adjust the HSV sliders to guess its color, then click 'Check Color'."
)

# ------------------------------------------------------------------------------
# 4. Mouse Click Handler
# ------------------------------------------------------------------------------
def on_mouse_down(x, y):
    global selected_color, selected_coords
    x = int(x)
    y = int(y)
    if 0 <= x < width and 0 <= y < height:
        selected_coords = (x, y)
        selected_color = proc_rgb[y, x]

        with hold_canvas(main_canvas):
            main_canvas.clear()
            main_canvas.put_image_data(display_rgba, 0, 0)
            main_canvas.stroke_style = "red"
            main_canvas.begin_path()
            main_canvas.move_to(x - 5, y)
            main_canvas.line_to(x + 5, y)
            main_canvas.move_to(x, y - 5)
            main_canvas.line_to(x, y + 5)
            main_canvas.stroke()

        info_label.value = f"Selected pixel at ({x}, {y}). Now guess its color in HSV!"

main_canvas.on_mouse_down(on_mouse_down)

# ------------------------------------------------------------------------------
# 5. HSV Sliders & Check Button
# ------------------------------------------------------------------------------
slider_H = widgets.IntSlider(min=0, max=360, value=0, description='H:')
slider_S = widgets.IntSlider(min=0, max=100, value=0, description='S:')
slider_V = widgets.IntSlider(min=0, max=100, value=0, description='V:')

def update_guess_canvas(_=None):
    """Update the guessed color square using current HSV sliders."""
    h = slider_H.value / 360.0
    s = slider_S.value / 100.0
    v = slider_V.value / 100.0
    r, g, b = colorsys.hsv_to_rgb(h, s, v)
    r_int = int(round(r * 255))
    g_int = int(round(g * 255))
    b_int = int(round(b * 255))
    color_str = f"rgb({r_int}, {g_int}, {b_int})"
    guess_canvas.clear()
    guess_canvas.fill_style = color_str
    guess_canvas.fill_rect(0, 0, 50, 50)

slider_H.observe(update_guess_canvas, 'value')
slider_S.observe(update_guess_canvas, 'value')
slider_V.observe(update_guess_canvas, 'value')
update_guess_canvas()

check_button = widgets.Button(description='Check Color')
output_result = widgets.Output()

def on_check_color_clicked(_):
    """Convert HSV guess to RGB and compute MSE with true pixel RGB."""
    if selected_color is None:
        info_label.value = "No pixel selected yet!"
        return
    h = slider_H.value / 360.0
    s = slider_S.value / 100.0
    v = slider_V.value / 100.0
    r, g, b = colorsys.hsv_to_rgb(h, s, v)
    guess_color = np.array([int(round(r * 255)),
                            int(round(g * 255)),
                            int(round(b * 255))], dtype=np.uint8)
    mse = np.mean((selected_color.astype(np.float32) - guess_color.astype(np.float32)) ** 2)
    with output_result:
        clear_output()
        print(f"Selected Pixel RGB: {selected_color}")
        print(f"Your Guess RGB: {guess_color}")
        print(f"Mean Squared Error (MSE): {mse:.2f}")

check_button.on_click(on_check_color_clicked)

# ------------------------------------------------------------------------------
# 6. Layout
# ------------------------------------------------------------------------------
layout = widgets.VBox([
    info_label,
    widgets.HBox([
        main_canvas,
        widgets.VBox([
            widgets.Label("Guessed color:"),
            guess_canvas
        ])
    ]),
    widgets.HBox([slider_H, slider_S, slider_V, check_button]),
    output_result
])

display(layout)
update_guess_canvas()

# ------------------------------------------------------------------------------
# 7. Auto-select Random Pixel on Startup
# ------------------------------------------------------------------------------
rand_x = random.randint(0, width - 1)
rand_y = random.randint(0, height - 1)
on_mouse_down(rand_x, rand_y)
VBox(children=(Label(value="Click on the image to select a pixel. Adjust the HSV sliders to guess its color, t…
 

Question:



How does the HSV model compare to RGB in terms of intuitiveness when selecting colors?

Analysis and Comments:

- The HSV model is more intuitive than RGB for color selection because it separates the hue (type of color) from saturation (intensity) and value (brightness).
- In RGB, adjusting individual channels (R, G, B) can produce unpredictable changes in the perceived color, especially in darker or highly saturated areas.
- In HSV, you can directly tweak the hue to change the color type, adjust saturation to make it more vivid or muted, and modify value to control brightness — all in ways that align closely with human perception of color.
- This makes HSV particularly useful for tasks like color picking, tint adjustments, and visual color matching, often resulting in lower MSE compared to RGB-based guesses.
 

Optional Task:



The RGB color space is not perceptually uniform, meaning that colors that appear visually similar may have very different numerical values (a large Euclidian distance between thir pixels), and vice-versa. This non-linearity can lead to unexpected results when calculating differences between colors.

You have to do the following steps:

1. Find at least three examples where two colors that appear very similar to the human eye have a large distance.
2. Find another three examples where two colors that appear very different have a small distance.
3. Explain why this happens by considering human color perception versus numerical differences in RGB space.
 

Optional Task: RGB Non-Uniformity Analysis



1. Examples of visually similar colors with large RGB distances



| Color 1 (RGB) | Color 2 (RGB) | Euclidean Distance | Observation |
|---------------|---------------|-----------------|-------------|
| (200, 200, 190) | (190, 190, 200) | 17.32 | Slight tint difference, almost identical to human eye, but numerically the difference is significant due to all channels changing. |
| (128, 128, 128) | (120, 120, 140) | 20.88 | Both appear grayish/neutral; humans perceive them as similar, but numerical distance is large. |
| (100, 150, 200) | (110, 140, 210) | 17.32 | Appears like the same pastel blue; RGB distance is relatively large despite similar perception. |

---

2. Examples of visually different colors with small RGB distances



| Color 1 (RGB) | Color 2 (RGB) | Euclidean Distance | Observation |
|---------------|---------------|-----------------|-------------|
| (255, 0, 0) | (255, 10, 10) | 14.14 | Red vs slightly lighter red; numerically small distance, but visually the pure red and slightly off-red look quite different. |
| (0, 255, 0) | (10, 245, 10) | 14.14 | Bright green vs slightly shifted green; human perception notices the difference more than Euclidean distance suggests. |
| (0, 0, 255) | (10, 10, 245) | 17.32 | Bright blue vs slightly darker, slightly red-blue mix; visually distinct, but RGB difference is small. |

---

3. Explanation



- Human color perception is non-linear: the eye is more sensitive to some colors (like green) and less to others (like blue), while RGB treats each channel equally.
- RGB distance does not account for perceptual uniformity: two colors may have large numerical differences but look almost identical because the human eye averages or adapts to changes.
- Conversely, small RGB changes in highly saturated or primary colors can appear very different visually.
- This is why perceptually uniform color spaces like CIE L\a\b or HSV (Hue) are preferred for color comparison and difference measurements.